{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:VIQUS5EG45SCKLKDXN5UPABI67","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"abfbc2f10aa08af8a6c64da9b49e669dd3ac58a4c0d65788fa1b718ecb3a7888","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-07-21T19:57:36Z","title_canon_sha256":"f4998fbc4839043c9b57d9e5b16023d29ce2204981ede318379fe0c23acf1a84"},"schema_version":"1.0","source":{"id":"2207.10732","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.10732","created_at":"2026-07-05T04:42:38Z"},{"alias_kind":"arxiv_version","alias_value":"2207.10732v1","created_at":"2026-07-05T04:42:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.10732","created_at":"2026-07-05T04:42:38Z"},{"alias_kind":"pith_short_12","alias_value":"VIQUS5EG45SC","created_at":"2026-07-05T04:42:38Z"},{"alias_kind":"pith_short_16","alias_value":"VIQUS5EG45SCKLKD","created_at":"2026-07-05T04:42:38Z"},{"alias_kind":"pith_short_8","alias_value":"VIQUS5EG","created_at":"2026-07-05T04:42:38Z"}],"graph_snapshots":[{"event_id":"sha256:cf5153eaff1053f08b1d9381d4d30796d0e7899493a608373db2a80b93aac6fa","target":"graph","created_at":"2026-07-05T04:42:38Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2207.10732/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Analyzing vibration data using deep neural network algorithms is an effective way to detect damages in rotating machinery at an early stage. However, the black-box approach of these methods often does not provide a satisfactory solution because the cause of classifications is not comprehensible to humans. Therefore, this work investigates the application of explainable AI (XAI) algorithms to convolutional neural networks for vibration-based condition monitoring. For this, various XAI algorithms are applied to classifications based on the Fourier transform as well as the order analysis of the v","authors_text":"Deniz Neufeld, Oliver Mey","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-07-21T19:57:36Z","title":"Explainable AI Algorithms for Vibration Data-based Fault Detection: Use Case-adadpted Methods and Critical Evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.10732","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:0994a05188f5b038a261f9011140ce0421c389faa6dd4f81959ef482ddac0e8a","target":"record","created_at":"2026-07-05T04:42:38Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"abfbc2f10aa08af8a6c64da9b49e669dd3ac58a4c0d65788fa1b718ecb3a7888","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-07-21T19:57:36Z","title_canon_sha256":"f4998fbc4839043c9b57d9e5b16023d29ce2204981ede318379fe0c23acf1a84"},"schema_version":"1.0","source":{"id":"2207.10732","kind":"arxiv","version":1}},"canonical_sha256":"aa21497486e764252d43bb7b478028f7fa5f58eb9f5ae0f6165beb332169704e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa21497486e764252d43bb7b478028f7fa5f58eb9f5ae0f6165beb332169704e","first_computed_at":"2026-07-05T04:42:38.544673Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:42:38.544673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B0mJhhDpH2qDCZmuWRmde+9A7sYz+m99jxWBpQg9SXy9OsxapzV7iiG3KRWonYA0wUfGA/PX/UVD7+bj5VN2BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:42:38.545154Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.10732","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0994a05188f5b038a261f9011140ce0421c389faa6dd4f81959ef482ddac0e8a","sha256:cf5153eaff1053f08b1d9381d4d30796d0e7899493a608373db2a80b93aac6fa"],"state_sha256":"eb4bf370a9a4cc4e7e1ff6a0f4d1fcd7820375a4c00ab27503de25992296bb38"}