{"id":"https://openalex.org/W3092225066","doi":"https://doi.org/10.1109/safeprocess45799.2019.9213260","title":"Intelligent Fault Diagnosis Method for Coupling Rotating Machinery Based on Deep Convolutional Neural Network","display_name":"Intelligent Fault Diagnosis Method for Coupling Rotating Machinery Based on Deep Convolutional Neural Network","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3092225066","doi":"https://doi.org/10.1109/safeprocess45799.2019.9213260","mag":"3092225066"},"language":"en","primary_location":{"id":"doi:10.1109/safeprocess45799.2019.9213260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess45799.2019.9213260","pdf_url":null,"source":{"id":"https://openalex.org/S4306498460","display_name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5080274782","display_name":"Dawei Mu","orcid":"https://orcid.org/0000-0002-6354-6436"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dawei Mu","raw_affiliation_strings":["College of Information and Control Engineering, China University of Petroleum (East China), Qingdao"],"affiliations":[{"raw_affiliation_string":"College of Information and Control Engineering, China University of Petroleum (East China), Qingdao","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100646407","display_name":"Li Sheng","orcid":"https://orcid.org/0000-0003-2940-209X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Sheng","raw_affiliation_strings":["College of Information and Control Engineering, China University of Petroleum (East China), Qingdao"],"affiliations":[{"raw_affiliation_string":"College of Information and Control Engineering, China University of Petroleum (East China), Qingdao","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080274782"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27307813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"377","issue":null,"first_page":"64","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9955000281333923,"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"}},{"id":"https://openalex.org/T13050","display_name":"Oil and Gas Production Techniques","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.754797101020813},{"id":"https://openalex.org/keywords/drivetrain","display_name":"Drivetrain","score":0.7511994242668152},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6968021392822266},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.659622073173523},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.6400234699249268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5633577704429626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5487533211708069},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5278886556625366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.519011378288269},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5006742477416992},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.4872535765171051},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.47111228108406067},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4555976092815399},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4540584087371826},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.35915669798851013},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.35171955823898315},{"id":"https://openalex.org/keywords/torque","display_name":"Torque","score":0.18935930728912354},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08563357591629028}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.754797101020813},{"id":"https://openalex.org/C105637607","wikidata":"https://www.wikidata.org/wiki/Q1786258","display_name":"Drivetrain","level":3,"score":0.7511994242668152},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6968021392822266},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.659622073173523},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.6400234699249268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5633577704429626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5487533211708069},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5278886556625366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.519011378288269},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5006742477416992},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.4872535765171051},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.47111228108406067},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4555976092815399},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4540584087371826},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.35915669798851013},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.35171955823898315},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.18935930728912354},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08563357591629028},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/safeprocess45799.2019.9213260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess45799.2019.9213260","pdf_url":null,"source":{"id":"https://openalex.org/S4306498460","display_name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8799999952316284,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W276684437","https://openalex.org/W1686810756","https://openalex.org/W1984541135","https://openalex.org/W2007200746","https://openalex.org/W2031329301","https://openalex.org/W2035139964","https://openalex.org/W2046641793","https://openalex.org/W2049550263","https://openalex.org/W2112796928","https://openalex.org/W2210061839","https://openalex.org/W2404692435","https://openalex.org/W2556345765","https://openalex.org/W2584994008","https://openalex.org/W2600563756","https://openalex.org/W2735326783","https://openalex.org/W2794869810","https://openalex.org/W2919115771","https://openalex.org/W2964350391","https://openalex.org/W6637373629","https://openalex.org/W6694260854"],"related_works":["https://openalex.org/W3152769028","https://openalex.org/W3181152791","https://openalex.org/W2896194732","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W1694426859","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0,39],"the":[1,15,22,36,88,101,104,113,117],"industrial":[2],"process,":[3],"coupling":[4,25,53],"faults":[5,26],"between":[6],"different":[7],"components":[8],"tend":[9],"to":[10,14,21,51],"continually":[11],"happen":[12],"due":[13],"complications":[16],"of":[17,46,103,116],"mechanical":[18],"equipments.":[19],"Compared":[20],"single":[23,75],"fault,":[24],"have":[27,35],"complex":[28],"characteristics":[29],"and":[30,70,76,100],"features,":[31],"especially":[32],"when":[33],"they":[34],"similar":[37],"patterns.":[38],"this":[40],"paper,":[41],"a":[42,74],"fault":[43,125],"diagnosis":[44,126],"method":[45,106,119],"rotating":[47],"machinery":[48,54],"is":[49,107,120],"proposed":[50,64,105,118],"diagnose":[52],"vibration":[55,96],"signals":[56,84,97],"based":[57],"on":[58],"deep":[59],"convolutional":[60],"neural":[61],"network.":[62],"The":[63,109],"algorithm":[65],"coalesces":[66],"both":[67],"feature":[68],"extraction":[69],"pattern":[71],"classification":[72],"into":[73],"compact":[77],"learning":[78],"network":[79],"which":[80],"can":[81],"load":[82],"raw":[83],"without":[85],"pretreatment.":[86],"Through":[87],"wind":[89],"turbine":[90],"drivetrain":[91],"diagnostics":[92],"simulator":[93],"(WTDS)":[94],"platform,":[95],"are":[98],"collected":[99],"effectiveness":[102],"validated.":[108],"results":[110],"demonstrate":[111],"that":[112],"detection":[114],"accuracy":[115],"higher":[121],"than":[122],"other":[123],"intelligent":[124],"algorithms.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
