{"id":"https://openalex.org/W3127688238","doi":"https://doi.org/10.1109/access.2021.3055226","title":"A Novel Multi-Mode Bayesian Method for the Process Monitoring and Fault Diagnosis of Coal Mills","display_name":"A Novel Multi-Mode Bayesian Method for the Process Monitoring and Fault Diagnosis of Coal Mills","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3127688238","doi":"https://doi.org/10.1109/access.2021.3055226","mag":"3127688238"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/access.2021.3055226","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"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/A5058044263","display_name":"Wei Fan","orcid":"https://orcid.org/0000-0001-7054-2698"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Fan","raw_affiliation_strings":["Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041918870","display_name":"Shaojun Ren","orcid":"https://orcid.org/0000-0002-0013-4522"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojun Ren","raw_affiliation_strings":["Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001958131","display_name":"Qinqin Zhu","orcid":"https://orcid.org/0000-0001-9258-0839"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qinqin Zhu","raw_affiliation_strings":["Department of Chemical Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100855765","display_name":"Zhijun Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088511","display_name":"Inner Mongolia Electric Power (China)","ror":"https://ror.org/0041szh84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210088511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Jia","raw_affiliation_strings":["Inner Mongolia Jinglong Electric Power Generation Company Ltd., Fengzhen, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia Jinglong Electric Power Generation Company Ltd., Fengzhen, China","institution_ids":["https://openalex.org/I4210088511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039443833","display_name":"Delong Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088511","display_name":"Inner Mongolia Electric Power (China)","ror":"https://ror.org/0041szh84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210088511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Delong Bai","raw_affiliation_strings":["Inner Mongolia Jinglong Electric Power Generation Company Ltd., Fengzhen, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia Jinglong Electric Power Generation Company Ltd., Fengzhen, China","institution_ids":["https://openalex.org/I4210088511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025165421","display_name":"Fengqi Si","orcid":"https://orcid.org/0000-0003-2879-4984"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengqi Si","raw_affiliation_strings":["Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"apc_paid":null,"fwci":2.727,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.999945,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":"9","issue":null,"first_page":"22914","last_page":"22926"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Process Fault Detection and Diagnosis in Industries","score":0.9998,"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":"Process Fault Detection and Diagnosis in Industries","score":0.9998,"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":"Comminution in Mineral Processing","score":0.9994,"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/T10640","display_name":"Chemometrics in Analytical Chemistry and Food Technology","score":0.9703,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/process-monitoring","display_name":"Process Monitoring","score":0.555594},{"id":"https://openalex.org/keywords/fault-detection","display_name":"Fault Detection","score":0.526155},{"id":"https://openalex.org/keywords/multivariate-calibration","display_name":"Multivariate Calibration","score":0.510201},{"id":"https://openalex.org/keywords/multivariate-statistical-methods","display_name":"Multivariate Statistical Methods","score":0.506382},{"id":"https://openalex.org/keywords/dem-modelling","display_name":"DEM Modelling","score":0.501746}],"concepts":[{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6649622},{"id":"https://openalex.org/C518851703","wikidata":"https://www.wikidata.org/wiki/Q24489","display_name":"Coal","level":2,"score":0.6141217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5941919},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.573969},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.53947324},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.45356983},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4515277},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4379024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37595883},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3625314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34032333},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3395754},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.3385752},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32752842},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22773153},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/access.2021.3055226","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://doaj.org/article/60f583514ec3470b8296d4d598bdf61c","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":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"51976031"},{"funder":"https://openalex.org/F4320327794","funder_display_name":"Qinglan Project of Jiangsu Province of China","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":56,"referenced_works":["https://openalex.org/W1485550703","https://openalex.org/W1572089151","https://openalex.org/W1715581880","https://openalex.org/W1958241696","https://openalex.org/W1964489763","https://openalex.org/W1965833531","https://openalex.org/W1970129395","https://openalex.org/W1971663396","https://openalex.org/W1976494468","https://openalex.org/W1977910040","https://openalex.org/W1980409536","https://openalex.org/W1990979046","https://openalex.org/W1993305225","https://openalex.org/W1993606436","https://openalex.org/W1997177391","https://openalex.org/W1997918730","https://openalex.org/W2002268936","https://openalex.org/W2015245929","https://openalex.org/W2023551781","https://openalex.org/W2036887017","https://openalex.org/W2057130336","https://openalex.org/W2069620465","https://openalex.org/W2070669992","https://openalex.org/W2099567749","https://openalex.org/W2118621186","https://openalex.org/W2124191995","https://openalex.org/W2140449724","https://openalex.org/W2148603752","https://openalex.org/W2169347809","https://openalex.org/W2316093926","https://openalex.org/W2318889041","https://openalex.org/W2327122781","https://openalex.org/W2348542021","https://openalex.org/W244510990","https://openalex.org/W2473549412","https://openalex.org/W2516873367","https://openalex.org/W2559766475","https://openalex.org/W2605415765","https://openalex.org/W2737846508","https://openalex.org/W2757109865","https://openalex.org/W2771178425","https://openalex.org/W2771941638","https://openalex.org/W2780480991","https://openalex.org/W2801442150","https://openalex.org/W2897826427","https://openalex.org/W2910959950","https://openalex.org/W2939985247","https://openalex.org/W2973061791","https://openalex.org/W2991233743","https://openalex.org/W2992819607","https://openalex.org/W3007832517","https://openalex.org/W3019385468","https://openalex.org/W3145299610","https://openalex.org/W4254721730","https://openalex.org/W4285719527","https://openalex.org/W817944874"],"related_works":["https://openalex.org/W86946229","https://openalex.org/W3097589262","https://openalex.org/W3009843762","https://openalex.org/W2913439950","https://openalex.org/W2169866437","https://openalex.org/W2127402788","https://openalex.org/W2054360660","https://openalex.org/W1998491546","https://openalex.org/W1964286703","https://openalex.org/W1657673378"],"abstract_inverted_index":{"Process":[0],"monitoring":[1],"and":[2,14,31,77,92,102,121],"fault":[3,100,124],"diagnosis":[4],"(PM-FD)":[5],"of":[6,16,33,59,106,126,142],"coal":[7,34,61,129],"mills":[8],"are":[9,97],"essential":[10],"to":[11,54,75],"the":[12,17,28,56,60,79,88,93,107,133,136,140,143],"security":[13],"reliability":[15],"coal-fired":[18],"power":[19],"plant.":[20],"However,":[21],"traditional":[22,134],"methods":[23],"have":[24],"difficulties":[25],"in":[26,116],"addressing":[27],"strong":[29],"nonlinearity":[30],"multi-modality":[32],"mills.":[35],"In":[36],"this":[37],"paper,":[38],"a":[39,117,127],"novel":[40],"multi-mode":[41],"Bayesian":[42,71],"PM-FD":[43,109],"method":[44,96,110],"is":[45,51,73,111],"proposed.":[46],"Gaussian":[47],"mixture":[48],"model":[49],"(GMM)":[50],"first":[52],"applied":[53],"identify":[55],"operating":[57],"modes":[58],"mill.":[62,130],"Subsequently,":[63],"combined":[64],"with":[65,132],"multi-output":[66],"relevance":[67],"vector":[68],"regression":[69],"(MRVR),":[70],"inference":[72],"introduced":[74],"reconstruct":[76],"monitor":[78],"newly":[80],"observed":[81],"samples":[82],"from":[83],"different":[84],"running":[85],"modes.":[86],"Additionally,":[87],"squared":[89],"prediction":[90],"error":[91],"contribution":[94],"plot":[95],"employed":[98],"for":[99],"detection":[101],"isolation.":[103],"The":[104],"performance":[105],"proposed":[108,144],"verified":[112],"through":[113],"its":[114],"application":[115],"self-defined":[118],"nonlinear":[119],"system":[120],"two":[122],"actual":[123],"cases":[125],"medium-speed":[128],"Compared":[131],"methods,":[135],"experimental":[137],"results":[138],"demonstrate":[139],"effectiveness":[141],"method.":[145]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3127688238","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4}],"updated_date":"2024-11-18T10:49:59.091526","created_date":"2021-02-15"}
