{"id":"https://openalex.org/W4388279937","doi":"https://doi.org/10.1109/safeprocess58597.2023.10295652","title":"Multiple detectors-based Bayesian inference and statistics analysis for incipient fault detection","display_name":"Multiple detectors-based Bayesian inference and statistics analysis for incipient fault detection","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4388279937","doi":"https://doi.org/10.1109/safeprocess58597.2023.10295652"},"language":"en","primary_location":{"id":"doi:10.1109/safeprocess58597.2023.10295652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess58597.2023.10295652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-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/A5100713461","display_name":"Ruixue Wang","orcid":"https://orcid.org/0000-0003-3677-2689"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixue Wang","raw_affiliation_strings":["Shandong University of Science and Technology,College of Electrical Engineering and Automation,Qingdao,China","College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology,College of Electrical Engineering and Automation,Qingdao,China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044107601","display_name":"Wenqing Zhao","orcid":"https://orcid.org/0000-0001-6240-608X"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqing Zhao","raw_affiliation_strings":["Shandong University of Science and Technology,College of Electrical Engineering and Automation,Qingdao,China","College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology,College of Electrical Engineering and Automation,Qingdao,China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085983625","display_name":"Chao Cheng","orcid":"https://orcid.org/0000-0001-5858-5193"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Cheng","raw_affiliation_strings":["Changchun University of Technology,College of Computer Science and Engineering,Changchun,China","College of Computer Science and Engineering, Changchun University of Technology, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University of Technology,College of Computer Science and Engineering,Changchun,China","institution_ids":["https://openalex.org/I4385474403"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Changchun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019198724","display_name":"Xiaoyu Zou","orcid":"https://orcid.org/0000-0002-6272-3605"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Zou","raw_affiliation_strings":["China University of Mining and Technology,School of Mechanical and Electrical Engineering,Xuzhou,China","School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology,School of Mechanical and Electrical Engineering,Xuzhou,China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001683138","display_name":"Hongquan Ji","orcid":"https://orcid.org/0000-0002-4106-2609"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongquan Ji","raw_affiliation_strings":["Shandong University of Science and Technology,College of Electrical Engineering and Automation,Qingdao,China","College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology,College of Electrical Engineering and Automation,Qingdao,China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1721,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48510806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.7595179677009583},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.7550970315933228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6629480123519897},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.6360363960266113},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6247624754905701},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5827649235725403},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5600597262382507},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5275475382804871},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4887509346008301},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.46667802333831787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4526687264442444},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43860507011413574},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4305483102798462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41465556621551514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4080162048339844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33778801560401917},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.2579890191555023},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2194346785545349}],"concepts":[{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.7595179677009583},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.7550970315933228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629480123519897},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.6360363960266113},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6247624754905701},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5827649235725403},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5600597262382507},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5275475382804871},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4887509346008301},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.46667802333831787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4526687264442444},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43860507011413574},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4305483102798462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41465556621551514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4080162048339844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33778801560401917},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.2579890191555023},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2194346785545349},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/safeprocess58597.2023.10295652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess58597.2023.10295652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320326189","display_name":"Taishan Scholar Project of Shandong Province","ror":null},{"id":"https://openalex.org/F4320337495","display_name":"Technology Development","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1966863755","https://openalex.org/W1987782678","https://openalex.org/W2002378802","https://openalex.org/W2047475559","https://openalex.org/W2063255184","https://openalex.org/W2074058676","https://openalex.org/W2077791644","https://openalex.org/W2169347809","https://openalex.org/W2322097696","https://openalex.org/W2593600534","https://openalex.org/W2599795618","https://openalex.org/W2794428080","https://openalex.org/W2977049471","https://openalex.org/W3094086031","https://openalex.org/W3139037155","https://openalex.org/W4311807257","https://openalex.org/W4396946248","https://openalex.org/W6866183170"],"related_works":["https://openalex.org/W2927068219","https://openalex.org/W3094086031","https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W3081214562","https://openalex.org/W4310268968","https://openalex.org/W2950975704"],"abstract_inverted_index":{"To":[0],"establish":[1],"a":[2,25,104],"secure":[3],"and":[4,20,51,107,156,159],"dependable":[5],"operational":[6],"setting":[7],"for":[8,33,55,72],"practical":[9],"industrial":[10],"processes,":[11],"it":[12,125,151],"is":[13,31,101],"crucial":[14],"to":[15,70,129,138,163],"detect":[16],"incipient":[17,34,91,164],"faults":[18],"promptly":[19],"accurately.":[21],"In":[22],"this":[23],"work,":[24],"novel":[26],"data-driven":[27],"process":[28],"monitoring":[29],"approach":[30,117],"presented":[32],"fault":[35,92],"detection.":[36,93],"First,":[37],"inspired":[38],"by":[39,83,103],"the":[40,65,77,95,98,108,119,127,131,139,146,161],"ensemble":[41,122],"learning":[42],"algorithm,":[43],"multiple":[44],"Mahalanobis":[45],"distance":[46],"(MD)":[47],"detectors":[48],"are":[49,58,68,81],"trained,":[50],"corresponding":[52],"detection":[53,134],"indices":[54,67],"each":[56],"sample":[57],"calculated.":[59],"Second,":[60],"with":[61,145],"Bayesian":[62,142],"inference,":[63,143],"all":[64],"obtained":[66],"converted":[69],"probabilities":[71,80],"samples":[73,158],"being":[74],"faulty.":[75],"Furthermore,":[76],"statistics":[78],"of":[79,97,121,133,141],"analyzed":[82],"implementing":[84],"sliding":[85,147],"time":[86,148],"window":[87,149],"technique,":[88,150],"ultimately":[89],"achieving":[90],"Finally,":[94],"effectiveness":[96],"proposed":[99,116],"strategy":[100],"demonstrated":[102],"numerical":[105],"example":[106],"continuous":[109],"stirred":[110],"tank":[111],"reactor":[112],"benchmark":[113],"process.":[114],"The":[115],"inherits":[118],"advantages":[120],"learning,":[123],"so":[124],"has":[126],"capability":[128],"improve":[130,160],"stability":[132],"performance.":[135],"Meanwhile,":[136],"due":[137],"utilization":[140],"together":[144],"can":[152],"better":[153],"differentiate":[154],"normal":[155],"faulty":[157],"sensitivity":[162],"faults.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
