Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation | Paper Citation Record

Observation 8a17c689-7f37-4c42-bfef-b5a284787695 · outbound

This paper cites Gaussian mixture variational-based transformer domain adaptation fault diagnosis method and its application in bearing fault diagnosis,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Gaussian mixture variational-based transformer domain adaptation fault diagnosis method and its application in bearing fault diagnosis,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.567758Z

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Observation 7556a987-7bda-43a6-aacf-5de836d0b932 · outbound

This paper cites A hierarchical training-convolutional neural network for imbalanced fault diagnosis in complex equipment,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation A hierarchical training-convolutional neural network for imbalanced fault diagnosis in complex equipment,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.546589Z

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Observation 8c73a0f3-505b-4f6d-9632-9868ab2285fd · outbound

This paper cites An order-invariant and interpretable dilated convolution neural network for chemical process fault detection and diagnosis,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation An order-invariant and interpretable dilated convolution neural network for chemical process fault detection and diagnosis,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.521558Z

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Observation 1fd64752-df2a-424c-9498-c7dd00effcef · outbound

This paper cites Hard Sample Mining Enabled Supervised Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Hard Sample Mining Enabled Supervised Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:00:13.635993Z

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Observation f2912171-853f-4cbe-b977-7e512027309c · outbound

This paper cites Generalized out-of-distribution fault diagnosis (goofd) via internal con- trastive learning,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Generalized out-of-distribution fault diagnosis (goofd) via internal con- trastive learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.501268Z

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Observation 0ad1f171-4319-4e94-b88a-23b51567786f · outbound

This paper cites Imbalanced chemical process fault diagnosis using balancing gan with active sample selection,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Imbalanced chemical process fault diagnosis using balancing gan with active sample selection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.482187Z

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Observation 8ce46e03-0e0e-4fbc-b4bc-f728f157c027 · outbound

This paper cites Multi-gate mixture-of- expert combined with synthetic minority over-sampling technique for multimode imbalanced fault diagnosis,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Multi-gate mixture-of- expert combined with synthetic minority over-sampling technique for multimode imbalanced fault diagnosis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.461156Z

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Observation 8c65daed-de80-41c6-89d0-2d11e0a42167 · outbound

This paper cites Sccam: Supervised contrastive convolutional attention mechanism for ante-hoc interpretable fault diagnosis with limited fault samples,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Sccam: Supervised contrastive convolutional attention mechanism for ante-hoc interpretable fault diagnosis with limited fault samples,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.441632Z

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Observation 9934d1c1-9382-4c48-a444-6d5312625c69 · outbound

This paper cites An imbalanced semi-supervised wind turbine blade icing detection method based on contrastive learning,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation An imbalanced semi-supervised wind turbine blade icing detection method based on contrastive learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.419521Z

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Observation 5db67387-aaff-44e7-bd75-c59b589d4324 · outbound

This paper cites Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.396203Z

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Observation fce69efe-6756-4d9f-ade2-ba97ec96c5bb · outbound

This paper cites Feature selection with imbalanced data for software defect prediction,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Feature selection with imbalanced data for software defect prediction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.374914Z

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Observation dbb45d93-cc69-4360-8efb-2b2d1a2cc3e7 · outbound

This paper cites A svm framework for fault detection of the braking system in a high speed train,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation A svm framework for fault detection of the braking system in a high speed train,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.353176Z

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Observation 38be97c8-554a-49dc-b9e8-c5cf9da14847 · outbound

This paper cites Generative adversarial networks,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Generative adversarial networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.324260Z

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Observation f522cfca-f5f8-4f88-bf72-ed0ffb51090f · outbound

This paper cites A unified framework incorporating predictive generative denoising autoencoder and deep coral network for rolling bearing fault diagnosis with unbalanced data,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation A unified framework incorporating predictive generative denoising autoencoder and deep coral network for rolling bearing fault diagnosis with unbalanced data,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.303658Z

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Observation c81cf36d-d7cb-4779-918b-42963aa1d9a3 · outbound

This paper cites Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.266557Z

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Observation b565807b-e25e-4b51-a0f2-72835e71d7d3 · outbound

This paper cites Feature space augmentation for long-tailed data,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Feature space augmentation for long-tailed data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.244273Z

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Observation 6bca6824-6f81-4a96-b7e8-d29a78660283 · outbound

This paper cites McCloskey and N.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation McCloskey and N

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.218608Z

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Observation 4cb12aa1-4ccf-4ffa-bb0c-7b825ea63dea · outbound

This paper cites From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:00:13.610828Z

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Observation a52bdcf1-a63f-4102-b8aa-25f3fc1fc76d · outbound

This paper cites SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:00:13.584028Z

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Observation 2ba1c7d6-4b7b-43e8-9552-d375297ec26d · outbound

This paper cites Cross- domain class incremental broad network for continuous diagnosis of rotating machinery faults under variable operating conditions,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Cross- domain class incremental broad network for continuous diagnosis of rotating machinery faults under variable operating conditions,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.194031Z

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Observation 2ae31320-f84c-471a-8679-ce8fa5b0fc97 · outbound

This paper cites A data-driven time-series fault prediction framework for dynamically evolving large- scale data streaming systems,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation A data-driven time-series fault prediction framework for dynamically evolving large- scale data streaming systems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.168359Z

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Observation 530f0264-9855-4f2c-8b49-5f16272b1302 · outbound

This paper cites Bearing fault diagnosis via incremental learning based on the repeated replay using memory indexing (r-remind) method,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Bearing fault diagnosis via incremental learning based on the repeated replay using memory indexing (r-remind) method,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.146489Z

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Observation 053cc0d8-159d-4186-8f2a-c71dddd91bd3 · outbound

This paper cites Broad convolutional neural network based indus- trial process fault diagnosis with incremental learning capability,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Broad convolutional neural network based indus- trial process fault diagnosis with incremental learning capability,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.125517Z

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Observation 0ac75e11-0e9e-46bf-ac41-523717bc7cbc · outbound

This paper cites An imbalance modified con- volutional neural network with incremental learning for chemical fault diagnosis,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation An imbalance modified con- volutional neural network with incremental learning for chemical fault diagnosis,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.103560Z

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Observation 77b1a539-0912-4c0d-a3e8-f3c696db8b8e · outbound

This paper cites Hsell-net: A heterogeneous sample enhancement network with lifelong learning under industrial small samples,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Hsell-net: A heterogeneous sample enhancement network with lifelong learning under industrial small samples,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.082948Z

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Observation ef61f277-88f1-492b-b732-0071b75420c1 · outbound

This paper cites Intelligent fault diagnosis of rotor-bearing system under varying working conditions with modified transfer convolutional neural network and thermal images,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Intelligent fault diagnosis of rotor-bearing system under varying working conditions with modified transfer convolutional neural network and thermal images,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.062371Z

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Observation 56a8433d-1204-4ea4-8a52-1994abca3f14 · outbound

This paper cites Open-set domain adaptation in machinery fault diagnostics using instance-level weighted adversarial learning,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Open-set domain adaptation in machinery fault diagnostics using instance-level weighted adversarial learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.044584Z

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Observation 276b13ea-a144-42d4-a2ba-a7d0a5ffc4cc · outbound

This paper cites Deep adversarial subdomain adaptation network for intelligent fault diagnosis,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Deep adversarial subdomain adaptation network for intelligent fault diagnosis,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.027266Z

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Observation 28adca85-fe8f-4998-a4e9-882a5cd8b8bb · outbound

This paper cites Variable-wise stacked temporal autoencoder for intelligent fault diagnosis of industrial systems,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Variable-wise stacked temporal autoencoder for intelligent fault diagnosis of industrial systems,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:14.008030Z

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Observation df20593f-d635-4ba7-8cc6-ebae31005eca · outbound

This paper cites Multiscale channel attention- driven graph dynamic fusion learning method for robust fault diagnosis,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Multiscale channel attention- driven graph dynamic fusion learning method for robust fault diagnosis,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.989335Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f20119be-1788-4aa6-9cf2-09d0bbe95af8 · outbound

This paper cites Supervised contrastive learn- ing,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Supervised contrastive learn- ing,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.966093Z

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Observation 1cdc334c-98c5-4980-a37a-7fad6af0ce86 · outbound

This paper cites Using random forest to learn imbalanced data,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Using random forest to learn imbalanced data,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.947750Z

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Observation a2a81151-05a7-4627-83cd-7cc8dcf09484 · outbound

This paper cites iCaRL: Incremental classifier and representation learning,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation iCaRL: Incremental classifier and representation learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.929717Z

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Observation 44fa853d-be07-47d6-b502-53bb2478fc05 · outbound

This paper cites Herding dynamical weights to learn,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Herding dynamical weights to learn,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.910429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 260ad1bb-8649-4da8-a881-37c0d30d4746 · outbound

This paper cites End-to-end incremental learning,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation End-to-end incremental learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.891038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 639d425b-72da-4893-a75f-1be67079bc9f · outbound

This paper cites Sccam: Supervised contrastive convolutional attention mechanism for ante-hoc interpretable fault diagnosis with limited fault samples,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Sccam: Supervised contrastive convolutional attention mechanism for ante-hoc interpretable fault diagnosis with limited fault samples,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.869858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 303e5943-d152-496f-b1e0-bfd1cd74f891 · outbound

This paper cites Breiman, Classification and regression trees.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Breiman, Classification and regression trees

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.852685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3991cd1-1623-4222-9e46-a049c129f892 · outbound

This paper cites Large scale incremental learning,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Large scale incremental learning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.835423Z

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Observation 2e2ecef4-fad2-481b-a1df-fde0c9326012 · outbound

This paper cites Progressively balanced supervised contrastive representation learning for long-tailed fault diagnosis,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Progressively balanced supervised contrastive representation learning for long-tailed fault diagnosis,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.816198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 39e55b4c-43ae-4e16-abe3-8163ac151670 · outbound

This paper cites Knowledge distillation: A survey,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Knowledge distillation: A survey,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.797447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69603619-4e02-49ad-832c-29ba7ee85f4f · outbound

This paper cites Decentralized control of the tennessee eastman challenge process,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Decentralized control of the tennessee eastman challenge process,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.774971Z

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Observation ce56c97b-6708-4095-bcc9-f3e65e1ac1f4 · outbound

This paper cites Statistical process monitoring of a multiphase flow facility,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Statistical process monitoring of a multiphase flow facility,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.752863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 96880b92-180f-4b8a-892a-2e17628e112a · outbound

This paper cites Learning without forgetting,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Learning without forgetting,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.732185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e82b9ea-a087-414f-aa99-ff786b710b4f · outbound

This paper cites Learning with fantasy: Semantic-aware virtual contrastive constraint for few-shot class-incremental learning,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Learning with fantasy: Semantic-aware virtual contrastive constraint for few-shot class-incremental learning,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T20:00:13.509105Z

Source-reported events for the cited work

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Observation f0c5ed72-e040-4b56-b2c9-3a4bdb41545b · outbound

This paper cites Warping the space: Weight space rotation for class-incremental few-shot learning,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Warping the space: Weight space rotation for class-incremental few-shot learning,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T20:00:13.514978Z

Source-reported events for the cited work

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Observation fd5d014c-860f-4d71-abee-ae5fbdca57cb · outbound

This paper cites Few- shot class-incremental learning via class-aware bilateral distillation,.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Few- shot class-incremental learning via class-aware bilateral distillation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.685241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee31c6f5-755f-4a1b-bd2a-6bb9eefd9c24 · outbound

This paper cites Her research interest is deep learning.

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Her research interest is deep learning

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:00:13.660045Z

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