{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:6GGHGE5QDNOKZ77MXAVBVRCYED","short_pith_number":"pith:6GGHGE5Q","schema_version":"1.0","canonical_sha256":"f18c7313b01b5cacffecb82a1ac45820c593ec9f4ac05c9fb1d472b4f069af67","source":{"kind":"arxiv","id":"2309.03097","version":1},"attestation_state":"computed","paper":{"title":"An Algorithm for Modelling Escalator Fixed Loss Energy for PHM and sustainable energy usage","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Chris Chun Long Wong, Colman Yiu Wah Yeung, Edmond Yin San Yeung, Inez Maria Zwetsloot, Jiaqi Qiu, William Ka Fai Lee, Xuwen Hu, Yu Lin","submitted_at":"2023-09-06T15:37:43Z","abstract_excerpt":"Prognostic Health Management (PHM) is designed to assess and monitor the health status of systems, anticipate the onset of potential failure, and prevent unplanned downtime. In recent decades, collecting massive amounts of real-time sensor data enabled condition monitoring (CM) and consequently, detection of abnormalities to support maintenance decision-making. Additionally, the utilization of PHM techniques can support energy sustainability efforts by optimizing energy usage and identifying opportunities for energy-saving measures. Escalators are efficient machines for transporting people and"},"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":"2309.03097","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.AP","submitted_at":"2023-09-06T15:37:43Z","cross_cats_sorted":[],"title_canon_sha256":"a7a1ebd8790dc4c05e91cf3949ae173bbf3618fa3a06faf83dbfb5b50dcb0ff1","abstract_canon_sha256":"79725222a576a292382d87dc31f296721cea4ba6595a8d69443fa1d924796334"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:48:20.794068Z","signature_b64":"X0yfU9W6btZ50dhqA5E3g4F1kY0VoXSym9lxBtqBfKA8+Cif3J3zX9jn9pF2EERtEGTXC8GUl+V04hz4WjkdCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f18c7313b01b5cacffecb82a1ac45820c593ec9f4ac05c9fb1d472b4f069af67","last_reissued_at":"2026-07-05T06:48:20.793516Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:48:20.793516Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Algorithm for Modelling Escalator Fixed Loss Energy for PHM and sustainable energy usage","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Chris Chun Long Wong, Colman Yiu Wah Yeung, Edmond Yin San Yeung, Inez Maria Zwetsloot, Jiaqi Qiu, William Ka Fai Lee, Xuwen Hu, Yu Lin","submitted_at":"2023-09-06T15:37:43Z","abstract_excerpt":"Prognostic Health Management (PHM) is designed to assess and monitor the health status of systems, anticipate the onset of potential failure, and prevent unplanned downtime. In recent decades, collecting massive amounts of real-time sensor data enabled condition monitoring (CM) and consequently, detection of abnormalities to support maintenance decision-making. Additionally, the utilization of PHM techniques can support energy sustainability efforts by optimizing energy usage and identifying opportunities for energy-saving measures. Escalators are efficient machines for transporting people and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.03097","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2309.03097/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2309.03097","created_at":"2026-07-05T06:48:20.793576+00:00"},{"alias_kind":"arxiv_version","alias_value":"2309.03097v1","created_at":"2026-07-05T06:48:20.793576+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.03097","created_at":"2026-07-05T06:48:20.793576+00:00"},{"alias_kind":"pith_short_12","alias_value":"6GGHGE5QDNOK","created_at":"2026-07-05T06:48:20.793576+00:00"},{"alias_kind":"pith_short_16","alias_value":"6GGHGE5QDNOKZ77M","created_at":"2026-07-05T06:48:20.793576+00:00"},{"alias_kind":"pith_short_8","alias_value":"6GGHGE5Q","created_at":"2026-07-05T06:48:20.793576+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/6GGHGE5QDNOKZ77MXAVBVRCYED","json":"https://pith.science/pith/6GGHGE5QDNOKZ77MXAVBVRCYED.json","graph_json":"https://pith.science/api/pith-number/6GGHGE5QDNOKZ77MXAVBVRCYED/graph.json","events_json":"https://pith.science/api/pith-number/6GGHGE5QDNOKZ77MXAVBVRCYED/events.json","paper":"https://pith.science/paper/6GGHGE5Q"},"agent_actions":{"view_html":"https://pith.science/pith/6GGHGE5QDNOKZ77MXAVBVRCYED","download_json":"https://pith.science/pith/6GGHGE5QDNOKZ77MXAVBVRCYED.json","view_paper":"https://pith.science/paper/6GGHGE5Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2309.03097&json=true","fetch_graph":"https://pith.science/api/pith-number/6GGHGE5QDNOKZ77MXAVBVRCYED/graph.json","fetch_events":"https://pith.science/api/pith-number/6GGHGE5QDNOKZ77MXAVBVRCYED/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6GGHGE5QDNOKZ77MXAVBVRCYED/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6GGHGE5QDNOKZ77MXAVBVRCYED/action/storage_attestation","attest_author":"https://pith.science/pith/6GGHGE5QDNOKZ77MXAVBVRCYED/action/author_attestation","sign_citation":"https://pith.science/pith/6GGHGE5QDNOKZ77MXAVBVRCYED/action/citation_signature","submit_replication":"https://pith.science/pith/6GGHGE5QDNOKZ77MXAVBVRCYED/action/replication_record"}},"created_at":"2026-07-05T06:48:20.793576+00:00","updated_at":"2026-07-05T06:48:20.793576+00:00"}