{"id":"https://openalex.org/W4394627570","doi":"https://doi.org/10.1109/tii.2024.3381790","title":"A Robust Anomaly Detection Model for Pumps Based on the Spectral Residual With Self-Attention Variational Autoencoder","display_name":"A Robust Anomaly Detection Model for Pumps Based on the Spectral Residual With Self-Attention Variational Autoencoder","publication_year":2024,"publication_date":"2024-04-09","ids":{"openalex":"https://openalex.org/W4394627570","doi":"https://doi.org/10.1109/tii.2024.3381790"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3381790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3381790","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","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/A5051602167","display_name":"Tianming Xie","orcid":"https://orcid.org/0000-0002-9187-9764"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Tianming Xie","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, China","Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, U.K"],"affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061230141","display_name":"Qifa Xu","orcid":"https://orcid.org/0000-0001-7476-4511"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qifa Xu","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067427083","display_name":"Cuixia Jiang","orcid":"https://orcid.org/0000-0002-6900-8049"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuixia Jiang","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002055009","display_name":"Zhiwei Gao","orcid":"https://orcid.org/0000-0001-5464-3288"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhiwei Gao","raw_affiliation_strings":["Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, U.K"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043885252","display_name":"X.Z Wang","orcid":"https://orcid.org/0009-0008-9741-642X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangxiang Wang","raw_affiliation_strings":["Anhui RONDS Science and Technology Incorporated Company, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui RONDS Science and Technology Incorporated Company, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051602167"],"corresponding_institution_ids":["https://openalex.org/I16365422","https://openalex.org/I32394136"],"apc_list":null,"apc_paid":null,"fwci":5.9121,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.96707977,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"20","issue":"6","first_page":"9059","last_page":"9069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.9650999903678894,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9573000073432922,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.821373701095581},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.746779203414917},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7193362712860107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4851456582546234},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4336647689342499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4012611210346222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36699309945106506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28910449147224426},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2484494149684906},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1100161075592041}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.821373701095581},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.746779203414917},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7193362712860107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4851456582546234},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4336647689342499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4012611210346222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36699309945106506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28910449147224426},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2484494149684906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1100161075592041},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3381790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3381790","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6718666106","display_name":null,"funder_award_id":"72171070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1597576211","https://openalex.org/W1790534215","https://openalex.org/W1990785877","https://openalex.org/W2072857564","https://openalex.org/W2100495367","https://openalex.org/W2103559027","https://openalex.org/W2146103513","https://openalex.org/W2761148314","https://openalex.org/W2786827964","https://openalex.org/W2910548288","https://openalex.org/W2915423430","https://openalex.org/W2950361482","https://openalex.org/W2962736999","https://openalex.org/W2963166639","https://openalex.org/W2969736276","https://openalex.org/W2973001054","https://openalex.org/W2987793235","https://openalex.org/W3026006566","https://openalex.org/W3028455531","https://openalex.org/W3028926798","https://openalex.org/W3044844512","https://openalex.org/W3080273007","https://openalex.org/W3081074546","https://openalex.org/W3081497074","https://openalex.org/W3106543020","https://openalex.org/W3120331202","https://openalex.org/W3140570329","https://openalex.org/W3169450514","https://openalex.org/W3178367256","https://openalex.org/W3207605004","https://openalex.org/W4223422207","https://openalex.org/W4226158669","https://openalex.org/W4285200947","https://openalex.org/W4297814361","https://openalex.org/W4318765968","https://openalex.org/W4321033087","https://openalex.org/W4366165299","https://openalex.org/W4385245566","https://openalex.org/W4387227038","https://openalex.org/W6640963894","https://openalex.org/W6720514713","https://openalex.org/W6748102297","https://openalex.org/W6802061597"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829","https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037"],"abstract_inverted_index":{"Multivariate":[0],"time-series":[1],"(MTS)":[2],"collected":[3],"from":[4],"multiple":[5],"sensors":[6],"on":[7,76,100,129],"industrial":[8],"pumps":[9],"often":[10],"exhibit":[11],"concept":[12,53,121],"drift":[13,122],"and":[14,22,123],"noise":[15,72,124],"contamination":[16],"due":[17],"to":[18,51,67,96],"variable":[19],"working":[20],"conditions":[21],"complex":[23],"environments.":[24],"To":[25],"detect":[26],"anomalies":[27],"in":[28,115],"such":[29],"MTS,":[30],"we":[31],"propose":[32],"a":[33,61,101],"novel":[34],"model":[35,84,114,132],"called":[36],"spectral":[37,46],"residual":[38,47],"with":[39,60,120],"self-attention":[40],"variational":[41,57],"autoencoder":[42],"(SR-SAVAE).":[43],"Specifically,":[44],"the":[45,56,69,82,106,109,112,130,134],"operation":[48],"is":[49,65],"used":[50,66],"mitigate":[52],"drift,":[54],"while":[55],"inference":[58],"combined":[59],"total":[62],"variation":[63],"regularization":[64],"address":[68],"issue":[70],"of":[71,111,136],"contamination.":[73,125],"Experimental":[74],"results":[75,89,107],"three":[77],"public":[78],"datasets":[79],"indicate":[80],"that":[81],"SR-SAVAE":[83,113,131],"achieves":[85],"good":[86],"anomaly":[87,116],"detection":[88,117],"for":[90,118],"general":[91],"MTS.":[92],"More":[93],"importantly,":[94],"compared":[95],"other":[97],"state-of-the-art":[98],"models":[99],"private":[102],"dataset":[103],"about":[104],"pumps,":[105],"illustrate":[108],"superiority":[110],"MTS":[119],"Finally,":[126],"ablation":[127],"studies":[128],"detail":[133],"efficacy":[135],"each":[137],"component.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
