{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:EX4H7TC3MULKRRIM4GNPK45HFL","short_pith_number":"pith:EX4H7TC3","schema_version":"1.0","canonical_sha256":"25f87fcc5b6516a8c50ce19af573a72ac914f41cf8d26c278c8c972b74459317","source":{"kind":"arxiv","id":"1601.05387","version":1},"attestation_state":"computed","paper":{"title":"On wind Turbine failure detection from measurements of phase currents: a permutation entropy approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"nlin.AO","authors_text":"Geir Kulia, Marta Molinas, Sumit Kumar Ram","submitted_at":"2016-01-20T19:46:34Z","abstract_excerpt":"This article presents the applicability of Permutation Entropy based complexity measure of a time series for detection of fault in wind turbines. A set of electrical data from one faulty and one healthy wind turbine were analysed using traditional FastFourier analysis in addition to Permutation Entropy analysis to compare the complexity index of phase currents of the two turbines over time. The 4 seconds length data set did not reveal any low frequency in the spectra of currents, neither did they show any meaningful differences of spectrum between the two turbine currents. Permutation Entropy "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1601.05387","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"nlin.AO","submitted_at":"2016-01-20T19:46:34Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"f78478f456bf5b2fd261e4422d29b78f9c627f327a17c0efefa8d2bacb83c84f","abstract_canon_sha256":"745583d9b3ce06df927f01bfd1771187c3b583fc9b48232bc6a534696212f93b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:22:15.285520Z","signature_b64":"tIC0K96J1xRvpCov9xwlkhmVgil3YP5uUaJjBr/eFCqPzkFIBulStviY5MjC+H9Y2RTkwjI40ApCb/N+yQ8FCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"25f87fcc5b6516a8c50ce19af573a72ac914f41cf8d26c278c8c972b74459317","last_reissued_at":"2026-05-18T01:22:15.284847Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:22:15.284847Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On wind Turbine failure detection from measurements of phase currents: a permutation entropy approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"nlin.AO","authors_text":"Geir Kulia, Marta Molinas, Sumit Kumar Ram","submitted_at":"2016-01-20T19:46:34Z","abstract_excerpt":"This article presents the applicability of Permutation Entropy based complexity measure of a time series for detection of fault in wind turbines. A set of electrical data from one faulty and one healthy wind turbine were analysed using traditional FastFourier analysis in addition to Permutation Entropy analysis to compare the complexity index of phase currents of the two turbines over time. The 4 seconds length data set did not reveal any low frequency in the spectra of currents, neither did they show any meaningful differences of spectrum between the two turbine currents. Permutation Entropy "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.05387","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1601.05387","created_at":"2026-05-18T01:22:15.284943+00:00"},{"alias_kind":"arxiv_version","alias_value":"1601.05387v1","created_at":"2026-05-18T01:22:15.284943+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.05387","created_at":"2026-05-18T01:22:15.284943+00:00"},{"alias_kind":"pith_short_12","alias_value":"EX4H7TC3MULK","created_at":"2026-05-18T12:30:15.759754+00:00"},{"alias_kind":"pith_short_16","alias_value":"EX4H7TC3MULKRRIM","created_at":"2026-05-18T12:30:15.759754+00:00"},{"alias_kind":"pith_short_8","alias_value":"EX4H7TC3","created_at":"2026-05-18T12:30:15.759754+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/EX4H7TC3MULKRRIM4GNPK45HFL","json":"https://pith.science/pith/EX4H7TC3MULKRRIM4GNPK45HFL.json","graph_json":"https://pith.science/api/pith-number/EX4H7TC3MULKRRIM4GNPK45HFL/graph.json","events_json":"https://pith.science/api/pith-number/EX4H7TC3MULKRRIM4GNPK45HFL/events.json","paper":"https://pith.science/paper/EX4H7TC3"},"agent_actions":{"view_html":"https://pith.science/pith/EX4H7TC3MULKRRIM4GNPK45HFL","download_json":"https://pith.science/pith/EX4H7TC3MULKRRIM4GNPK45HFL.json","view_paper":"https://pith.science/paper/EX4H7TC3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1601.05387&json=true","fetch_graph":"https://pith.science/api/pith-number/EX4H7TC3MULKRRIM4GNPK45HFL/graph.json","fetch_events":"https://pith.science/api/pith-number/EX4H7TC3MULKRRIM4GNPK45HFL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EX4H7TC3MULKRRIM4GNPK45HFL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EX4H7TC3MULKRRIM4GNPK45HFL/action/storage_attestation","attest_author":"https://pith.science/pith/EX4H7TC3MULKRRIM4GNPK45HFL/action/author_attestation","sign_citation":"https://pith.science/pith/EX4H7TC3MULKRRIM4GNPK45HFL/action/citation_signature","submit_replication":"https://pith.science/pith/EX4H7TC3MULKRRIM4GNPK45HFL/action/replication_record"}},"created_at":"2026-05-18T01:22:15.284943+00:00","updated_at":"2026-05-18T01:22:15.284943+00:00"}