{"id":"https://openalex.org/W4225571513","doi":"https://doi.org/10.1109/tim.2022.3158379","title":"Rolling Bearing Compound Fault Diagnosis Based on Parameter Optimization MCKD and Convolutional Neural Network","display_name":"Rolling Bearing Compound Fault Diagnosis Based on Parameter Optimization MCKD and Convolutional Neural Network","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4225571513","doi":"https://doi.org/10.1109/tim.2022.3158379"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3158379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3158379","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5025378215","display_name":"Shuzhi Gao","orcid":"https://orcid.org/0000-0001-9324-3658"},"institutions":[{"id":"https://openalex.org/I48780066","display_name":"Shenyang University of Chemical Technology","ror":"https://ror.org/03dbpdh75","country_code":"CN","type":"education","lineage":["https://openalex.org/I48780066"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuzhi Gao","raw_affiliation_strings":["Department of Equipment Reliability Research, Shenyang University of Chemical Technology, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Department of Equipment Reliability Research, Shenyang University of Chemical Technology, Shenyang, China","institution_ids":["https://openalex.org/I48780066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101561841","display_name":"Shuo Shi","orcid":"https://orcid.org/0000-0001-8795-5835"},"institutions":[{"id":"https://openalex.org/I48780066","display_name":"Shenyang University of Chemical Technology","ror":"https://ror.org/03dbpdh75","country_code":"CN","type":"education","lineage":["https://openalex.org/I48780066"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Shi","raw_affiliation_strings":["Department of Equipment Reliability Research, Shenyang University of Chemical Technology, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Department of Equipment Reliability Research, Shenyang University of Chemical Technology, Shenyang, China","institution_ids":["https://openalex.org/I48780066"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391588","display_name":"Yimin Zhang","orcid":"https://orcid.org/0000-0001-9356-8663"},"institutions":[{"id":"https://openalex.org/I48780066","display_name":"Shenyang University of Chemical Technology","ror":"https://ror.org/03dbpdh75","country_code":"CN","type":"education","lineage":["https://openalex.org/I48780066"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Zhang","raw_affiliation_strings":["Department of Equipment Reliability Research, Shenyang University of Chemical Technology, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Department of Equipment Reliability Research, Shenyang University of Chemical Technology, Shenyang, China","institution_ids":["https://openalex.org/I48780066"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025378215"],"corresponding_institution_ids":["https://openalex.org/I48780066"],"apc_list":null,"apc_paid":null,"fwci":9.8185,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.98923551,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9915000200271606,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9900000095367432,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6787142753601074},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6258236169815063},{"id":"https://openalex.org/keywords/cuckoo-search","display_name":"Cuckoo search","score":0.6174750328063965},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6150846481323242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5613014698028564},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5508147478103638},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4952980577945709},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48701196908950806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4752107560634613},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45629382133483887},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.44043493270874023},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4338666796684265},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.42569079995155334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40764954686164856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16666626930236816}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6787142753601074},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6258236169815063},{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.6174750328063965},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6150846481323242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5613014698028564},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5508147478103638},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4952980577945709},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48701196908950806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4752107560634613},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45629382133483887},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.44043493270874023},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4338666796684265},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.42569079995155334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40764954686164856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16666626930236816},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3158379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3158379","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4762175424","display_name":null,"funder_award_id":"U1708254","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":32,"referenced_works":["https://openalex.org/W1971521993","https://openalex.org/W2008194395","https://openalex.org/W2014526686","https://openalex.org/W2056700360","https://openalex.org/W2058983449","https://openalex.org/W2100495367","https://openalex.org/W2585519949","https://openalex.org/W2606521772","https://openalex.org/W2733654015","https://openalex.org/W2784141614","https://openalex.org/W2886174418","https://openalex.org/W2888797617","https://openalex.org/W2909443287","https://openalex.org/W2917353266","https://openalex.org/W2954087556","https://openalex.org/W2975932043","https://openalex.org/W2997315202","https://openalex.org/W3008309516","https://openalex.org/W3009886093","https://openalex.org/W3026006566","https://openalex.org/W3082363917","https://openalex.org/W3090982778","https://openalex.org/W3094146358","https://openalex.org/W3108047925","https://openalex.org/W3110911605","https://openalex.org/W3119515808","https://openalex.org/W3128175548","https://openalex.org/W3131255154","https://openalex.org/W3135644512","https://openalex.org/W3136854387","https://openalex.org/W3173910049","https://openalex.org/W3177031970"],"related_works":["https://openalex.org/W4381516319","https://openalex.org/W2037499216","https://openalex.org/W1506384729","https://openalex.org/W4225568567","https://openalex.org/W4286378979","https://openalex.org/W2075698830","https://openalex.org/W3216026256","https://openalex.org/W3127045225","https://openalex.org/W1978568284","https://openalex.org/W2059891554"],"abstract_inverted_index":{"For":[0],"the":[1,5,8,15,22,25,52,64,70,79,85,91,97,106,113,118,121,142,160,164,176],"sake":[2],"of":[3,7,10,17,24,32,67,109,117,163,178],"solving":[4],"problem":[6],"difficulty":[9],"extracting":[11],"fault":[12,29,82,110,119],"features":[13],"under":[14],"background":[16],"noise":[18,139],"and":[19,44,77,84,102,115,135,171],"accurately":[20],"identify":[21],"state":[23],"bearing,":[26],"a":[27],"compound":[28,179],"diagnosis":[30],"method":[31,123,133,137,158],"rolling":[33,80],"bearing":[34,81],"based":[35],"on":[36],"parameter":[37,131],"optimization":[38,129,132],"maximum":[39],"correlated":[40],"kurtosis":[41],"deconvolution":[42],"(MCKD)":[43],"convolutional":[45],"neural":[46,165],"network":[47],"(CNN)":[48],"is":[49,59,73,88,94,124,146,172],"proposed.":[50],"First,":[51],"adaptive":[53],"multi-strategy":[54],"cuckoo":[55],"search":[56],"algorithm":[57],"(MSACS)":[58],"used":[60,74],"to":[61,75,96,104,175],"iteratively":[62],"optimize":[63],"important":[65],"parameters":[66],"MCKD.":[68],"Second,":[69],"optimized":[71],"MCKD":[72],"filter":[76],"denoise":[78],"signal,":[83],"denoised":[86,92],"signal":[87,93],"obtained.":[89],"Finally,":[90],"input":[95],"CNN":[98,136],"model":[99],"for":[100],"training":[101],"testing":[103],"obtain":[105],"classification":[107],"result":[108],"diagnosis.":[111],"Through":[112],"test":[114],"evaluation":[116],"dataset,":[120],"proposed":[122],"compared":[125,147],"with":[126,148],"particle":[127],"swarm":[128],"(PSO)":[130],"(PSO-MCKD-CNN)":[134],"without":[138],"reduction.":[140],"At":[141],"same":[143],"time,":[144],"it":[145],"other":[149],"advanced":[150],"methods.":[151],"The":[152],"experimental":[153],"results":[154],"shows":[155],"that":[156],"this":[157],"improves":[159],"diagnostic":[161,169],"performance":[162],"network,":[166],"obtains":[167],"higher":[168],"accuracy,":[170],"more":[173],"conducive":[174],"detection":[177],"faults.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":7}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}