{"id":"https://openalex.org/W4391384938","doi":"https://doi.org/10.3390/s24030941","title":"Gas Turbine Anomaly Detection under Time-Varying Operation Conditions Based on Spectra Alignment and Self-Adaptive Normalization","display_name":"Gas Turbine Anomaly Detection under Time-Varying Operation Conditions Based on Spectra Alignment and Self-Adaptive Normalization","publication_year":2024,"publication_date":"2024-01-31","ids":{"openalex":"https://openalex.org/W4391384938","doi":"https://doi.org/10.3390/s24030941","mag":"38339657"},"language":"en","primary_location":{"id":"doi:10.3390/s24030941","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24030941","pdf_url":"https://www.mdpi.com/1424-8220/24/3/941/pdf?version=1706714105","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/3/941/pdf?version=1706714105","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062416940","display_name":"Dongyan Miao","orcid":"https://orcid.org/0009-0008-2506-236X"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyan Miao","raw_affiliation_strings":["State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing 100029, China"],"raw_orcid":"https://orcid.org/0009-0008-2506-236X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069512064","display_name":"Kun Feng","orcid":"https://orcid.org/0000-0002-2214-2216"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Feng","raw_affiliation_strings":["State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing 100029, China"],"raw_orcid":"https://orcid.org/0000-0002-2214-2216","affiliations":[{"raw_affiliation_string":"State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089646321","display_name":"Yuan Xiao","orcid":"https://orcid.org/0000-0003-1376-5881"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Xiao","raw_affiliation_strings":["State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing 100029, China"],"raw_orcid":"https://orcid.org/0000-0003-1376-5881","affiliations":[{"raw_affiliation_string":"State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042291952","display_name":"Zhouzheng Li","orcid":"https://orcid.org/0000-0001-9451-1861"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouzheng Li","raw_affiliation_strings":["State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing 100029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113525662","display_name":"Jinji Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinji Gao","raw_affiliation_strings":["State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing 100029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5069512064","https://openalex.org/A5089646321"],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.7112,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89632616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"3","first_page":"941","last_page":"941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.996399998664856,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.996399998664856,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9825000166893005,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.8121986389160156},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7495431303977966},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7058224678039551},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.5618842244148254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5074591040611267},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.49533072113990784},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.487301230430603},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4775191843509674},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.4479519724845886},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.43877485394477844},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.41944634914398193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40934276580810547},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.371638685464859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3488396406173706},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.2660936713218689},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18364205956459045},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15795934200286865}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8121986389160156},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7495431303977966},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7058224678039551},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.5618842244148254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5074591040611267},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.49533072113990784},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.487301230430603},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4775191843509674},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.4479519724845886},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.43877485394477844},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.41944634914398193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40934276580810547},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.371638685464859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3488396406173706},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2660936713218689},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18364205956459045},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15795934200286865},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"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":4,"locations":[{"id":"doi:10.3390/s24030941","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24030941","pdf_url":"https://www.mdpi.com/1424-8220/24/3/941/pdf?version=1706714105","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"mag:38339657","is_oa":false,"landing_page_url":"https://psyjournals.ru/files/72750/jmfp_2014_3_n7_Chernov.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Modern Foreign Psychology","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10856833","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10856833","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10856833/pdf/sensors-24-00941.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:082219d99c704d1e941749e2a38aaa65","is_oa":true,"landing_page_url":"https://doaj.org/article/082219d99c704d1e941749e2a38aaa65","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 3, p 941 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24030941","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24030941","pdf_url":"https://www.mdpi.com/1424-8220/24/3/941/pdf?version=1706714105","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391384938.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W2139575464","https://openalex.org/W2603304445","https://openalex.org/W2767234670","https://openalex.org/W2883778034","https://openalex.org/W2949488362","https://openalex.org/W2962686212","https://openalex.org/W2969817423","https://openalex.org/W3000047671","https://openalex.org/W3000611884","https://openalex.org/W3012281973","https://openalex.org/W3043471545","https://openalex.org/W3081327309","https://openalex.org/W3090638566","https://openalex.org/W3106306645","https://openalex.org/W3129677652","https://openalex.org/W3137159073","https://openalex.org/W3140854437","https://openalex.org/W3155778618","https://openalex.org/W3160217442","https://openalex.org/W3194320491","https://openalex.org/W3216194285","https://openalex.org/W4205311757","https://openalex.org/W4206258998","https://openalex.org/W4221085381","https://openalex.org/W4225526013","https://openalex.org/W4226285334","https://openalex.org/W4282027092","https://openalex.org/W4285112317","https://openalex.org/W4306148071","https://openalex.org/W4309224462","https://openalex.org/W4313124175","https://openalex.org/W4328105750","https://openalex.org/W6764304055","https://openalex.org/W6794773911","https://openalex.org/W6804366868"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829"],"abstract_inverted_index":{"Gas":[0],"turbine":[1,27],"vibration":[2,28],"data":[3],"may":[4],"exhibit":[5],"considerable":[6],"differences":[7,127],"under":[8,32,102,128],"time-varying":[9,33,103,129],"conditions,":[10,35,130],"which":[11,138],"poses":[12],"challenges":[13],"for":[14,24,49,72],"neural":[15,37],"network":[16],"anomaly":[17,77,82,113],"detection.":[18,114],"We":[19],"first":[20],"propose":[21],"a":[22,25,63,80,92],"framework":[23,45,111],"gas":[26],"frequency":[29,52,60],"spectra":[30,48,74,126],"process":[31],"operation":[34],"assisting":[36],"networks\u2019":[38],"ability":[39],"to":[40,55,86,108,141],"capture":[41],"weak":[42],"information.":[43],"The":[44,115],"involves":[46],"scaling":[47],"aligning":[50],"all":[51],"components":[53],"related":[54],"rotational":[56],"speed":[57],"and":[58,76,112,131],"normalizing":[59],"amplitude":[61],"in":[62],"self-adaptive":[64],"way.":[65],"Degressive":[66],"beta":[67],"variational":[68],"autoencoder":[69],"is":[70,84],"employed":[71],"learning":[73],"characteristics":[75],"detection,":[78],"while":[79],"multi-category":[81],"index":[83],"proposed":[85,120],"accommodate":[87],"various":[88],"operating":[89,104],"conditions.":[90],"Finally,":[91],"dataset":[93],"of":[94],"blade":[95],"Foreign":[96],"Object":[97],"Damage":[98],"(FOD)":[99],"fault":[100,135],"occurring":[101],"conditions":[105],"was":[106],"used":[107],"validate":[109],"the":[110,119,125],"results":[116],"demonstrate":[117],"that":[118],"method":[121],"can":[122],"effectively":[123],"reduce":[124],"also":[132],"detect":[133],"FOD":[134],"during":[136],"operation,":[137],"are":[139],"challenging":[140],"identify":[142],"using":[143],"conventional":[144],"methods.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2024-02-01T00:00:00"}
