{"id":"https://openalex.org/W7125510873","doi":"https://doi.org/10.1016/j.knosys.2026.115380","title":"A generalizable anomaly detection framework with dynamic concept drift suppression for non-stationary time series","display_name":"A generalizable anomaly detection framework with dynamic concept drift suppression for non-stationary time series","publication_year":2026,"publication_date":"2026-01-23","ids":{"openalex":"https://openalex.org/W7125510873","doi":"https://doi.org/10.1016/j.knosys.2026.115380"},"language":"en","primary_location":{"id":"doi:10.1016/j.knosys.2026.115380","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2026.115380","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123689674","display_name":"Licheng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang Liaoning, 110169, China","Software College, Northeastern University, Shenyang Liaoning, 110169, China"],"raw_orcid":"https://orcid.org/0009-0009-1387-5846","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang Liaoning, 110169, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Software College, Northeastern University, Shenyang Liaoning, 110169, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123713240","display_name":"Yu Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Yao","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang Liaoning, 110169, China"],"raw_orcid":"https://orcid.org/0000-0001-5458-541X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang Liaoning, 110169, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123712049","display_name":"Daoqing Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoqing Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang Liaoning, 110169, China","Software College, Northeastern University, Shenyang Liaoning, 110169, China"],"raw_orcid":"https://orcid.org/0009-0003-8668-7447","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang Liaoning, 110169, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Software College, Northeastern University, Shenyang Liaoning, 110169, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Yang","orcid":"https://orcid.org/0000-0002-4471-0026"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yang","raw_affiliation_strings":["Software College, Northeastern University, Shenyang Liaoning, 110169, China"],"raw_orcid":"https://orcid.org/0000-0002-4471-0026","affiliations":[{"raw_affiliation_string":"Software College, Northeastern University, Shenyang Liaoning, 110169, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123685867","display_name":"Yuming Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I2799552245","display_name":"Shenhua Group (China)","ror":"https://ror.org/03x0rzg54","country_code":"CN","type":"company","lineage":["https://openalex.org/I2799552245"]},{"id":"https://openalex.org/I4210142993","display_name":"China Shenhua Energy (China)","ror":"https://ror.org/046fag481","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210142993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Hao","raw_affiliation_strings":["Shengu Group Co. Ltd, Shenyang, 110100, China"],"raw_orcid":"https://orcid.org/0009-0001-6389-0464","affiliations":[{"raw_affiliation_string":"Shengu Group Co. Ltd, Shenyang, 110100, China","institution_ids":["https://openalex.org/I2799552245","https://openalex.org/I4210142993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5123713240"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":3130,"currency":"USD","value_usd":3130},"apc_paid":null,"fwci":27.521,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.99270638,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"337","issue":null,"first_page":"115380","last_page":"115380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.012400000356137753,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.007400000002235174,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.8422999978065491},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8199999928474426},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.6832000017166138},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5950000286102295},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.567300021648407},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.49619999527931213},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4934000074863434},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43790000677108765}],"concepts":[{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.8422999978065491},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8199999928474426},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.6832000017166138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5996999740600586},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5950000286102295},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.567300021648407},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.49619999527931213},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4934000074863434},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4894999861717224},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4239000082015991},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3822000026702881},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33889999985694885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28110000491142273},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.2809000015258789},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.2703000009059906},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.2578999996185303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.knosys.2026.115380","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2026.115380","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6827744245529175,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1970088130","https://openalex.org/W2310485631","https://openalex.org/W2963166639","https://openalex.org/W3088412845","https://openalex.org/W3163273607","https://openalex.org/W4200217704","https://openalex.org/W4285294533","https://openalex.org/W4382203295","https://openalex.org/W4391054939","https://openalex.org/W4392103753","https://openalex.org/W4394627570","https://openalex.org/W4401726201","https://openalex.org/W4401726558","https://openalex.org/W4407241011","https://openalex.org/W4410394383","https://openalex.org/W4410394442"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2026-01-24T00:00:00"}