Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers | Paper Citation Record

Observation 4fb1e7f4-b91d-4fdb-bafd-8b2b8bc8f6b3 · outbound

This paper cites A general model, estimation, and procedure for modeling recurrent failure process of high-voltage circuit breakers considering multivariate impacts,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers A general model, estimation, and procedure for modeling recurrent failure process of high-voltage circuit breakers considering multivariate impacts,

Reference 1

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Observation d5487fab-303e-499d-8636-905a641874c9 · outbound

This paper cites Condition monitoring of high voltage circuit breakers: Past to future,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Condition monitoring of high voltage circuit breakers: Past to future,

Reference 2

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Observation 712aff61-d24a-4f39-98b0-fd2ecdcfb077 · outbound

This paper cites Circuit breaker condition assessment through a fuzzy-probabilistic analysis of actuating coil’s current,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Circuit breaker condition assessment through a fuzzy-probabilistic analysis of actuating coil’s current,

Reference 3

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Observation 49ddc816-733a-4bb5-8691-dc07224cc865 · outbound

This paper cites An approach for hvcb mechanical fault diag- nosis based on a deep belief network and a transfer learning strategy,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers An approach for hvcb mechanical fault diag- nosis based on a deep belief network and a transfer learning strategy,

Reference 4

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Observation fbb39ba2-5e48-495c-b06e-37f415091f75 · outbound

This paper cites Applicability of auxiliary contacts in circuit breaker online condition assessment,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Applicability of auxiliary contacts in circuit breaker online condition assessment,

Reference 5

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Observation 677a6eed-83b2-46a6-b28a-f665bac3853c · outbound

This paper cites Fault analysis of high-voltage circuit breakers based on coil current and contact travel waveforms through modified svm classifier,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Fault analysis of high-voltage circuit breakers based on coil current and contact travel waveforms through modified svm classifier,

Reference 6

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Observation e856dea7-ee31-4348-812a-b0cdf7a8a898 · outbound

This paper cites Intelligent failure diagnosis for gas circuit breakers based on dynamic resistance measurements,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Intelligent failure diagnosis for gas circuit breakers based on dynamic resistance measurements,

Reference 7

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Observation 62f91aa4-1662-4f26-832f-c806afc40daa · outbound

This paper cites Prediction of the dynamic contact resistance of circuit breaker based on the kernel partial least squares,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Prediction of the dynamic contact resistance of circuit breaker based on the kernel partial least squares,

Reference 8

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Observation 4f1a29ad-4ed9-4951-bea8-4052f09fbef0 · outbound

This paper cites Timings of high voltage circuit-breaker,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Timings of high voltage circuit-breaker,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.060482Z

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Observation 100c49ad-b02b-4cdc-a7f5-331c51eeebc3 · outbound

This paper cites Study of condition monitoring by operating sound diagnosis for circuit breaker in substation,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Study of condition monitoring by operating sound diagnosis for circuit breaker in substation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.065201Z

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Observation f90d738a-c3f5-4c17-a537-6cb5e87bed96 · outbound

This paper cites Development of acoustic diagnostics for opening and closing operations of gas circuit breakers,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Development of acoustic diagnostics for opening and closing operations of gas circuit breakers,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.070030Z

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Observation 6479118b-b7ab-4c67-b36d-37cde85ad0c8 · outbound

This paper cites Field circuit breaker inspection using machine learning and data analytics on sound recognition,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Field circuit breaker inspection using machine learning and data analytics on sound recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:20.054585Z

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Observation 04349efd-ec95-49ee-9c7b-678c884bbed5 · outbound

This paper cites A novel u-net and capsule network for few-shot high-voltage circuit breaker mechanical fault diagnosis,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers A novel u-net and capsule network for few-shot high-voltage circuit breaker mechanical fault diagnosis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:20.039752Z

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Observation 43395192-4be8-4c4b-af7b-124df40cfea8 · outbound

This paper cites Continuous monitoring of circuit breakers using vibration analysis,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Continuous monitoring of circuit breakers using vibration analysis,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:20.024699Z

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Observation 3ea5af5d-6e4c-424c-a58d-71285eab08f8 · outbound

This paper cites Mechanical fault diagnosis of a high voltage circuit breaker based on high-efficiency time-domain feature extraction with entropy features,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Mechanical fault diagnosis of a high voltage circuit breaker based on high-efficiency time-domain feature extraction with entropy features,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:20.009383Z

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Observation 0ed68c45-4168-4a38-8de1-2344b2a7aed3 · outbound

This paper cites Review of digital vibration signal analysis techniques for fault diagnosis of high-voltage circuit breakers,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Review of digital vibration signal analysis techniques for fault diagnosis of high-voltage circuit breakers,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.993976Z

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Observation 20011149-6a17-42e6-8280-dd399ceb92e9 · outbound

This paper cites A systematic review for switchgear asset management in power grids: Condition monitoring, health assessment, and maintenance strategy,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers A systematic review for switchgear asset management in power grids: Condition monitoring, health assessment, and maintenance strategy,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.979877Z

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Observation 6331c3f7-f09e-409e-a2b6-48213031b0e6 · outbound

This paper cites Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.965764Z

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Observation 4be7d3cb-a0e8-48eb-a8a3-8bad04309f62 · outbound

This paper cites Domain adaptation via alignment of operation profile for remaining useful lifetime prediction,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Domain adaptation via alignment of operation profile for remaining useful lifetime prediction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.951173Z

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Observation 1a4dd133-454b-4ad7-bf64-9a25fee8f788 · outbound

This paper cites Reliability analysis of detecting false alarms that employ neural networks: A real case study on wind turbines,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Reliability analysis of detecting false alarms that employ neural networks: A real case study on wind turbines,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.936224Z

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Observation 23fd421e-10a5-4299-9af7-ded338c88f1b · outbound

This paper cites Dirt and mud detection and diagnosis on a wind turbine blade employing guided waves and supervised learning classifiers,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Dirt and mud detection and diagnosis on a wind turbine blade employing guided waves and supervised learning classifiers,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.921764Z

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Observation b1d7fa5b-d7cf-4089-9ab4-efc6e48dcf17 · outbound

This paper cites Non-contact sensing for anomaly detection in wind turbine blades: A focus-svdd with complex-valued auto-encoder approach,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Non-contact sensing for anomaly detection in wind turbine blades: A focus-svdd with complex-valued auto-encoder approach,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.907308Z

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Observation 32961f36-bcc2-48a1-a33c-81650d09ad57 · outbound

This paper cites Condition assessment of power circuit breakers based on machine learning algorithms,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Condition assessment of power circuit breakers based on machine learning algorithms,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.892188Z

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Observation afdf1d57-d39a-4425-9bc4-a215abae884f · outbound

This paper cites Implicit supervision for fault detection and segmentation of emerging fault types with deep variational autoencoders,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Implicit supervision for fault detection and segmentation of emerging fault types with deep variational autoencoders,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.877004Z

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Observation 27ef0ac1-8c2c-4adf-9665-b87b34087276 · outbound

This paper cites A comparison of residual-based methods on fault detection,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers A comparison of residual-based methods on fault detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.862852Z

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Observation d6b36c11-16d7-47cd-8c3c-edf72b9770fc · outbound

This paper cites Fault diagnosis of circuit breaker energy storage mechanism based on current- vibration entropy weight characteristic and grey wolf optimization–support vector machine,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Fault diagnosis of circuit breaker energy storage mechanism based on current- vibration entropy weight characteristic and grey wolf optimization–support vector machine,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.848082Z

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Observation a21ecf0d-70bb-4390-ab57-52516df0d7be · outbound

This paper cites Prognostics and health management (phm): Where are we and where do we (need to) go in theory and practice,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Prognostics and health management (phm): Where are we and where do we (need to) go in theory and practice,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.833500Z

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Observation bc98a559-fe64-4744-a34b-fba184a5121f · outbound

This paper cites Sensitivity analysis by differential importance measure for unsupervised fault diagnostics,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Sensitivity analysis by differential importance measure for unsupervised fault diagnostics,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.817818Z

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Observation 297766f3-e0d7-4aea-ac88-33b307684e47 · outbound

This paper cites Integration of novel sensors and machine learning for predictive main- tenance in medium voltage switchgear to enable the energy and mobility revolutions,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Integration of novel sensors and machine learning for predictive main- tenance in medium voltage switchgear to enable the energy and mobility revolutions,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.801258Z

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Observation aec2ee33-37bc-410b-b1d9-3b4685fa3f14 · outbound

This paper cites Deep learning for anomaly detection: A review,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Deep learning for anomaly detection: A review,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.786545Z

Source-reported events for the cited work

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Observation ccb1256d-c0a3-49e5-ad2e-e2658c3522d6 · outbound

This paper cites Auto-Encoding Variational Bayes.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Auto-Encoding Variational Bayes

Reference 31

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Observation 384f6cd8-8999-48dc-b752-e7f8555bcbbf · outbound

This paper cites Anomaly detection and diagnosis for wind turbines using long short- term memory-based stacked denoising autoencoders and xgboost,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Anomaly detection and diagnosis for wind turbines using long short- term memory-based stacked denoising autoencoders and xgboost,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.771732Z

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Observation 51489c82-96e4-46d4-8c35-7eb212f32f03 · outbound

This paper cites A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.756731Z

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Observation 9a6ea6f6-a308-4d65-a911-2604f38787bd · outbound

This paper cites Estimating the support of a high-dimensional distribution,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Estimating the support of a high-dimensional distribution,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.741178Z

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Observation fdbf086f-48c6-46ec-bce4-1542141534f7 · outbound

This paper cites Support vector data description,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Support vector data description,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.184319Z

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Observation cb02fa31-f36f-4f79-abdd-3528697277f9 · outbound

This paper cites Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.716851Z

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Observation f85368f2-0ad4-4503-bbca-d425308cede2 · outbound

This paper cites Multiresolution knowledge distillation for anomaly detection,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Multiresolution knowledge distillation for anomaly detection,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.193341Z

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Observation 75417554-eb38-43b9-a2a1-59b956f22406 · outbound

This paper cites Anomaly detection via reverse distillation from one-class embedding,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Anomaly detection via reverse distillation from one-class embedding,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.690726Z

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Observation 9e58f0d4-4e1c-4918-80c0-86342fbd45c0 · outbound

This paper cites A unifying review of deep and shallow anomaly detection,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers A unifying review of deep and shallow anomaly detection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.675106Z

Source-reported events for the cited work

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Observation c7c35050-1616-4b73-b66b-b1802560c7e5 · outbound

This paper cites Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.207255Z

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Observation 8b022145-1fe2-45f6-8c48-f75bbc73be14 · outbound

This paper cites Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.212250Z

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Observation a5f4d674-cded-4abd-a1ad-1dca2652e1ec · outbound

This paper cites A novel method for fault diagnosis of fluid end of drilling pump under complex working conditions,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers A novel method for fault diagnosis of fluid end of drilling pump under complex working conditions,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.650149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d5dcb300-ec17-4b37-9ffe-e48e25cb94e7 · outbound

This paper cites Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.635643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2cd790eb-5d45-4d22-ab86-612bf34a9377 · outbound

This paper cites Mechanical fault diagnosis of high voltage circuit breakers based on wavelet time-frequency entropy and one-class support vector machine,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Mechanical fault diagnosis of high voltage circuit breakers based on wavelet time-frequency entropy and one-class support vector machine,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.620892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 013c941b-79ad-42c9-8705-afa741af6cfd · outbound

This paper cites Condition evaluation for opening damper of spring operated high-voltage circuit breaker using vibration time-frequency image,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Condition evaluation for opening damper of spring operated high-voltage circuit breaker using vibration time-frequency image,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.606404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4bff3211-0eb7-40fd-bcc2-a361651d5108 · outbound

This paper cites Small-sample fault diagnosis method for high-voltage circuit breakers via data augmentation and deep learning,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Small-sample fault diagnosis method for high-voltage circuit breakers via data augmentation and deep learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.591945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 242e2a42-ff33-4eb9-87c7-a1a9322118db · outbound

This paper cites Few-shot transfer learning with attention mechanism for high-voltage circuit breaker fault diagnosis,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Few-shot transfer learning with attention mechanism for high-voltage circuit breaker fault diagnosis,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.577312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ed4d877a-6d8e-407b-8cec-559bf978bfe1 · outbound

This paper cites Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.244723Z

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Observation d1561827-7d9d-4860-aab7-06bb33ff8818 · outbound

This paper cites Explainable Predictive Maintenance.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Explainable Predictive Maintenance

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:06:19.112103Z

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Observation 6b9a0025-6510-47f1-a519-0785cb02c56d · outbound

This paper cites Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:06:19.091269Z

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Observation 43832c71-7df9-4e2f-996f-029d6235a299 · outbound

This paper cites Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications,

Reference 51

Resolution: verified exact; raw_fallback, observed 2026-08-15T18:06:19.069286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 69a2023b-dbda-49d5-92a0-f0ea0dc77c17 · outbound

This paper cites Visualizing and understanding convolutional networks,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Visualizing and understanding convolutional networks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.562931Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7369d509-d492-49c1-bd95-4a306fb173d7 · outbound

This paper cites How to explain individual classification decisions,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers How to explain individual classification decisions,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.547989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 194a3373-296f-404c-a20e-f7e7edecf953 · outbound

This paper cites Axiomatic attribution for deep networks,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Axiomatic attribution for deep networks,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.532607Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af9a1049-dba1-4962-87d3-b42902b22041 · outbound

This paper cites Layer-wise relevance propaga- tion: an overview,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Layer-wise relevance propaga- tion: an overview,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.518433Z

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Observation b2dfceb7-dea9-4c1f-b8d7-edd44e8bd4dd · outbound

This paper cites On pixel-wise expla- nations for non-linear classifier decisions by layer-wise relevance propagation,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers On pixel-wise expla- nations for non-linear classifier decisions by layer-wise relevance propagation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.503994Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d7abaa76-af1e-4386-8f2d-0980b59d377a · outbound

This paper cites An explainable one-dimensional 29 convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers An explainable one-dimensional 29 convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.489614Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0a149f76-e47e-477d-bd04-dc1a807472da · outbound

This paper cites Decoupled Feature-Temporal CNN: Explaining Deep Learning-Based Machine Health Monitoring,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Decoupled Feature-Temporal CNN: Explaining Deep Learning-Based Machine Health Monitoring,

Reference 58

Resolution: verified exact; raw_fallback, observed 2026-08-15T18:06:18.981103Z

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Observation 7dd4970c-bca5-4934-8247-fb6bd3b10f37 · outbound

This paper cites Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions,

Reference 59

Resolution: verified exact; raw_fallback, observed 2026-08-15T18:06:18.901140Z

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Observation e5f4e97a-e20f-4a02-96f4-77fa623b615c · outbound

This paper cites On the explainability of convolutional neural networks processing ultrasonic guided waves for damage diagnosis,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers On the explainability of convolutional neural networks processing ultrasonic guided waves for damage diagnosis,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.474960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d678c81c-107a-4e21-afca-bf50aac30f5f · outbound

This paper cites Vibration Signals Analysis by Explainable Artificial In- telligence (XAI) Approach: Application on Bearing Faults Diagnosis,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Vibration Signals Analysis by Explainable Artificial In- telligence (XAI) Approach: Application on Bearing Faults Diagnosis,

Reference 61

Resolution: verified exact; raw_fallback, observed 2026-08-15T18:06:18.834530Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c084129-6511-4558-900f-d0d9cd60e51d · outbound

This paper cites An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map,

Reference 62

Resolution: verified exact; raw_fallback, observed 2026-08-15T18:06:18.764419Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1096bb52-9613-44d7-88ee-b1b245f3df6f · outbound

This paper cites Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning,

Reference 63

Resolution: verified exact; raw_fallback, observed 2026-08-15T18:06:18.673640Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 408c5b7c-a5ac-4103-9efc-41f40cdaa033 · outbound

This paper cites Explainable Convolutional Neural Network for Gearbox Fault Diagnosis,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Explainable Convolutional Neural Network for Gearbox Fault Diagnosis,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.460275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 02df67ae-3255-4678-ae11-ef4cb99ffda9 · outbound

This paper cites A Study on the Effectiveness of Current Data in Motor Mechanical Fault Diagnosis Using XAI,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers A Study on the Effectiveness of Current Data in Motor Mechanical Fault Diagnosis Using XAI,

Reference 65

Resolution: verified exact; doi, observed 2026-08-15T18:06:18.486719Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 55e6cb7b-7718-47de-8029-c4c0cbba1bd1 · outbound

This paper cites Explainable AI for Bearing Fault Prognosis Using Deep Learning Techniques,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Explainable AI for Bearing Fault Prognosis Using Deep Learning Techniques,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.446155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b3413e70-0255-48a1-a76e-c851840a61e4 · outbound

This paper cites Fault feature assessment method for high-voltage circuit breakers based on explainable image recognition,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Fault feature assessment method for high-voltage circuit breakers based on explainable image recognition,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.431346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1c8bb2d9-f855-4ae5-908a-1f598d8b119f · outbound

This paper cites Explaining the predictions of unsupervised learning models,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Explaining the predictions of unsupervised learning models,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.415247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 99e7eeb0-4317-447c-b2aa-15daaedad049 · outbound

This paper cites From fault detection to anomaly explanation: A case study on predictive maintenance,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers From fault detection to anomaly explanation: A case study on predictive maintenance,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.398029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b36b3ee4-4290-4d01-87d6-978bdac2d90b · outbound

This paper cites From clustering to cluster explanations via neural networks,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers From clustering to cluster explanations via neural networks,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.382340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0079469a-7c80-43cc-9c53-8cfd6f802278 · outbound

This paper cites Concept Bottleneck Models,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Concept Bottleneck Models,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.367027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c4ab1e4-6212-4388-bb6c-6581a3b38296 · outbound

This paper cites Interpretable Prognostics with Concept Bottleneck Models.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Interpretable Prognostics with Concept Bottleneck Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.358595Z

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Observation 9ae39cc9-5dbd-4fff-be30-01ce73922607 · outbound

This paper cites Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:06:18.580056Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1166f5a6-46af-418a-99b8-3d22e8f104d5 · outbound

This paper cites This Looks Like That: Deep Learning for Interpretable Image Recognition,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers This Looks Like That: Deep Learning for Interpretable Image Recognition,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.351475Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 71faa5b2-a7ec-413b-ac5e-e208b51ea278 · outbound

This paper cites Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.371850Z

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Observation bdb1d810-258b-4a3b-a5b4-bea04ba70470 · outbound

This paper cites Scf-net: A sparse counterfactual generation network for interpretable fault diagnosis,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Scf-net: A sparse counterfactual generation network for interpretable fault diagnosis,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.335678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41aa813b-78bf-447d-ab4a-f66e48a8401f · outbound

This paper cites Optics: Ordering points to identify the clustering structure,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Optics: Ordering points to identify the clustering structure,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.381062Z

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Observation 10ed6bbf-7556-4627-a7d4-20952c098928 · outbound

This paper cites The self-organizing map,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers The self-organizing map,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.385700Z

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Observation 2534351b-d7d1-4713-bf83-d87366796895 · outbound

This paper cites Large-scale Vibration Monitoring of Aircraft Engines from Operational Data using Self-organized Models,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Large-scale Vibration Monitoring of Aircraft Engines from Operational Data using Self-organized Models,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.302067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c58178d6-6198-4d07-884b-522171fe2c1c · outbound

This paper cites From classification to segmentation with explainable ai: A study on crack detection and growth monitoring,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers From classification to segmentation with explainable ai: A study on crack detection and growth monitoring,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.288011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a56b701-9b66-4284-bbd1-de42a0cc06f7 · outbound

This paper cites Carvalho, M.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Carvalho, M

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.273413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d0efcc70-c356-42e7-9f7e-147b723792f0 · outbound

This paper cites Diagnostics of high voltage circuit breakers by monitoring of vibration signals,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Diagnostics of high voltage circuit breakers by monitoring of vibration signals,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.258455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e1274be9-7e7b-4480-aa30-cf2746a32b38 · outbound

This paper cites MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.409409Z

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Observation a920d648-f2c8-4ec1-b37c-e175a5ccfe3c · outbound

This paper cites Speech emotion recognition from 3d log-mel spectrograms with deep learning network,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Speech emotion recognition from 3d log-mel spectrograms with deep learning network,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.414200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e3bb776-3ac3-4b53-a44d-2268569535a6 · outbound

This paper cites Comparing partitions,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Comparing partitions,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.232489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ea6bf06-2da3-4df3-9165-5de09222df40 · outbound

This paper cites V-measure: A conditional entropy-based external cluster evalua- tion measure,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers V-measure: A conditional entropy-based external cluster evalua- tion measure,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.218138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a797bf9-81e9-4139-8e88-fcc180487d49 · outbound

This paper cites A Survey and Implementation of Performance Metrics for Self-Organized Maps.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers A Survey and Implementation of Performance Metrics for Self-Organized Maps

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:06:18.526407Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a7572949-91be-4096-b091-8ab406ecc45e · outbound

This paper cites Towards robust interpretability with self-explaining neural net- works,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Towards robust interpretability with self-explaining neural net- works,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.203886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9e0661ff-68e3-4d0f-812a-48cd0697c454 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Adam: A Method for Stochastic Optimization

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:18.437302Z

Source-reported events for the cited work

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Observation 06184b75-cec2-4d9d-b55c-0d818a7f8d4c · outbound

This paper cites Minisom: minimalistic and numpy-based implementation of the self organizing map,.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Minisom: minimalistic and numpy-based implementation of the self organizing map,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.189681Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b707af8-1df2-4522-993b-ab24a1bb1067 · outbound

This paper cites Available: https://github.com/JustGlowing/minisom/ 31.

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Available: https://github.com/JustGlowing/minisom/ 31

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:19.174622Z

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