{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:S5YMDBGNHC653H3B7B3KDSDS2B","short_pith_number":"pith:S5YMDBGN","canonical_record":{"source":{"id":"1702.05047","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-11-04T17:23:06Z","cross_cats_sorted":[],"title_canon_sha256":"758fbda6a67eb33a57d6df2ca1e82e80979602f71b1def627a93f83c782016dc","abstract_canon_sha256":"790cf166583a787cce13736cfb55d09c2c9e3544acfb872fed2f0356f5a47e80"},"schema_version":"1.0"},"canonical_sha256":"9770c184cd38bddd9f61f876a1c872d075eb044783ed6597a341823ce5bb3c9d","source":{"kind":"arxiv","id":"1702.05047","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.05047","created_at":"2026-05-18T00:50:36Z"},{"alias_kind":"arxiv_version","alias_value":"1702.05047v1","created_at":"2026-05-18T00:50:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.05047","created_at":"2026-05-18T00:50:36Z"},{"alias_kind":"pith_short_12","alias_value":"S5YMDBGNHC65","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"S5YMDBGNHC653H3B","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"S5YMDBGN","created_at":"2026-05-18T12:30:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:S5YMDBGNHC653H3B7B3KDSDS2B","target":"record","payload":{"canonical_record":{"source":{"id":"1702.05047","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-11-04T17:23:06Z","cross_cats_sorted":[],"title_canon_sha256":"758fbda6a67eb33a57d6df2ca1e82e80979602f71b1def627a93f83c782016dc","abstract_canon_sha256":"790cf166583a787cce13736cfb55d09c2c9e3544acfb872fed2f0356f5a47e80"},"schema_version":"1.0"},"canonical_sha256":"9770c184cd38bddd9f61f876a1c872d075eb044783ed6597a341823ce5bb3c9d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:50:36.366201Z","signature_b64":"C2Fa+L1Go4t6l+YTYaxVAGimd3/BSZxPupkGRkOIDSuxbtNz7eYmyFSkuMhUEVrNDLzeE6vJrTLa4K5KoPFKDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9770c184cd38bddd9f61f876a1c872d075eb044783ed6597a341823ce5bb3c9d","last_reissued_at":"2026-05-18T00:50:36.365713Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:50:36.365713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.05047","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:50:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aAz7MVB3gVEV13aTOk0reP72aTUVx4rt8aRfqITawGZZv0hLUVu0vWabQDejMtNWkFOcKEuHIA0hZkoUvskfAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T08:03:53.592354Z"},"content_sha256":"f78e501104b18509fbe775a59629adf4a38e451f48a557128282d5b2f5b01b9a","schema_version":"1.0","event_id":"sha256:f78e501104b18509fbe775a59629adf4a38e451f48a557128282d5b2f5b01b9a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:S5YMDBGNHC653H3B7B3KDSDS2B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data-driven online monitoring of wind turbines","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Alessandro Di Bucchianico, Stella Kapodistria, Thomas Kenbeek","submitted_at":"2016-11-04T17:23:06Z","abstract_excerpt":"Condition based maintenance is a modern approach to maintenance which has been successfully used in several industrial sectors. In this paper we present a concrete statistical approach to condition based maintenance for wind turbine by applying ideas from statistical process control. A specific problem in wind turbine maintenance is that failures of a certain part may have causes that originate in other parts a long time ago. This calls for methods that can produce timely warnings by combining sensor data from different sources. Our method improves on existing methods used in wind turbine main"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.05047","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:50:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FxYPx+TaNBWH6kdID/csEVjjFT9Jev6nM+LEgvYj7U1k+mt23HoKhv/jz99nKaLWP6il3LNK+qDI/JKGoxVWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T08:03:53.592976Z"},"content_sha256":"baad4b1f8b4e91161016820b9ddf2c9779b18a4f23f016757f6c36dab4bbff4d","schema_version":"1.0","event_id":"sha256:baad4b1f8b4e91161016820b9ddf2c9779b18a4f23f016757f6c36dab4bbff4d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S5YMDBGNHC653H3B7B3KDSDS2B/bundle.json","state_url":"https://pith.science/pith/S5YMDBGNHC653H3B7B3KDSDS2B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S5YMDBGNHC653H3B7B3KDSDS2B/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-09T08:03:53Z","links":{"resolver":"https://pith.science/pith/S5YMDBGNHC653H3B7B3KDSDS2B","bundle":"https://pith.science/pith/S5YMDBGNHC653H3B7B3KDSDS2B/bundle.json","state":"https://pith.science/pith/S5YMDBGNHC653H3B7B3KDSDS2B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S5YMDBGNHC653H3B7B3KDSDS2B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:S5YMDBGNHC653H3B7B3KDSDS2B","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":"790cf166583a787cce13736cfb55d09c2c9e3544acfb872fed2f0356f5a47e80","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-11-04T17:23:06Z","title_canon_sha256":"758fbda6a67eb33a57d6df2ca1e82e80979602f71b1def627a93f83c782016dc"},"schema_version":"1.0","source":{"id":"1702.05047","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.05047","created_at":"2026-05-18T00:50:36Z"},{"alias_kind":"arxiv_version","alias_value":"1702.05047v1","created_at":"2026-05-18T00:50:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.05047","created_at":"2026-05-18T00:50:36Z"},{"alias_kind":"pith_short_12","alias_value":"S5YMDBGNHC65","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"S5YMDBGNHC653H3B","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"S5YMDBGN","created_at":"2026-05-18T12:30:44Z"}],"graph_snapshots":[{"event_id":"sha256:baad4b1f8b4e91161016820b9ddf2c9779b18a4f23f016757f6c36dab4bbff4d","target":"graph","created_at":"2026-05-18T00:50:36Z","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"},"paper":{"abstract_excerpt":"Condition based maintenance is a modern approach to maintenance which has been successfully used in several industrial sectors. In this paper we present a concrete statistical approach to condition based maintenance for wind turbine by applying ideas from statistical process control. A specific problem in wind turbine maintenance is that failures of a certain part may have causes that originate in other parts a long time ago. This calls for methods that can produce timely warnings by combining sensor data from different sources. Our method improves on existing methods used in wind turbine main","authors_text":"Alessandro Di Bucchianico, Stella Kapodistria, Thomas Kenbeek","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-11-04T17:23:06Z","title":"Data-driven online monitoring of wind turbines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.05047","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:f78e501104b18509fbe775a59629adf4a38e451f48a557128282d5b2f5b01b9a","target":"record","created_at":"2026-05-18T00:50:36Z","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":"790cf166583a787cce13736cfb55d09c2c9e3544acfb872fed2f0356f5a47e80","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-11-04T17:23:06Z","title_canon_sha256":"758fbda6a67eb33a57d6df2ca1e82e80979602f71b1def627a93f83c782016dc"},"schema_version":"1.0","source":{"id":"1702.05047","kind":"arxiv","version":1}},"canonical_sha256":"9770c184cd38bddd9f61f876a1c872d075eb044783ed6597a341823ce5bb3c9d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9770c184cd38bddd9f61f876a1c872d075eb044783ed6597a341823ce5bb3c9d","first_computed_at":"2026-05-18T00:50:36.365713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:50:36.365713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C2Fa+L1Go4t6l+YTYaxVAGimd3/BSZxPupkGRkOIDSuxbtNz7eYmyFSkuMhUEVrNDLzeE6vJrTLa4K5KoPFKDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:50:36.366201Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.05047","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f78e501104b18509fbe775a59629adf4a38e451f48a557128282d5b2f5b01b9a","sha256:baad4b1f8b4e91161016820b9ddf2c9779b18a4f23f016757f6c36dab4bbff4d"],"state_sha256":"867ee0fefdd74d0762164bc09070c61687b25f0aa5e93d9752d5ef09e9c629e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pjce2yOg0xvkIfHCb0CSTTOBX6qvm8HtZRkCeo4DLxpM3VZlxaYxo7a02yeAObgbjSeHEZhu3DWBJ2L9/ScgCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T08:03:53.596621Z","bundle_sha256":"7740edacdf9d50099641f8ef4c202749818a0c9846f784fee6ec74af340a8604"}}