{"id":"https://openalex.org/W3135501047","doi":"https://doi.org/10.1109/iccasit50869.2020.9368683","title":"Bearing Fault Detection Based on Convolutional Self-Attention Mechanism","display_name":"Bearing Fault Detection Based on Convolutional Self-Attention Mechanism","publication_year":2020,"publication_date":"2020-10-14","ids":{"openalex":"https://openalex.org/W3135501047","doi":"https://doi.org/10.1109/iccasit50869.2020.9368683","mag":"3135501047"},"language":"en","primary_location":{"id":"doi:10.1109/iccasit50869.2020.9368683","doi":"https://doi.org/10.1109/iccasit50869.2020.9368683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccasit50869.2020.9368683","pdf_url":null,"source":{"id":"https://openalex.org/S4363607888","display_name":"IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5041033184","display_name":"Ruida Ye","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruida Ye","raw_affiliation_strings":["Space Engineering University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398421","display_name":"Weijie Wang","orcid":"https://orcid.org/0000-0001-7697-431X","observed_orcids":["https://orcid.org/0000-0001-7697-431X","https://orcid.org/0009-0007-3650-834X"]},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Wang","raw_affiliation_strings":["Space Engineering University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043329874","display_name":"Yuan Ren","orcid":"https://orcid.org/0000-0003-1150-6608","observed_orcids":["https://orcid.org/0000-0003-1150-6608"]},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Ren","raw_affiliation_strings":["Space Engineering University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100761087","display_name":"Keming Zhang","orcid":"https://orcid.org/0000-0002-6382-6411","observed_orcids":["https://orcid.org/0000-0002-6382-6411"]},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keming Zhang","raw_affiliation_strings":["Space Engineering University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210148107"],"apc_list":null,"apc_paid":null,"fwci":2.6833,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90374212,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"869","last_page":"873"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":1.0,"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":1.0,"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":0.0,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bearing-fault-detection","display_name":"bearing fault detection","score":0.8980000019073486},{"id":"https://openalex.org/keywords/rolling-bearings","display_name":"rolling bearings","score":0.6150000095367432},{"id":"https://openalex.org/keywords/self-attention","display_name":"self-attention","score":0.8790000081062317},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.972000002861023},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":1.0},{"id":"https://openalex.org/keywords/fault-classification","display_name":"fault classification","score":0.8539999723434448},{"id":"https://openalex.org/keywords/data-driven-fault-diagnosis","display_name":"data-driven fault diagnosis","score":0.7630000114440918}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8144369125366211},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.7835718393325806},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6848887801170349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6832029819488525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6204545497894287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5851458311080933},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5792372226715088},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5247250199317932},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47386884689331055},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4355889558792114},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4131473898887634},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.41231200098991394},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.050066202878952026},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.04985964298248291},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccasit50869.2020.9368683","doi":"https://doi.org/10.1109/iccasit50869.2020.9368683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccasit50869.2020.9368683","pdf_url":null,"source":{"id":"https://openalex.org/S4363607888","display_name":"IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2040070030","https://openalex.org/W2157135189","https://openalex.org/W2163605009","https://openalex.org/W2480364715","https://openalex.org/W2978614909"],"related_works":["https://openalex.org/W4397012675","https://openalex.org/W4390270347","https://openalex.org/W4206970374","https://openalex.org/W7125929343","https://openalex.org/W3091350697","https://openalex.org/W4391097125","https://openalex.org/W3042706401","https://openalex.org/W7213923579","https://openalex.org/W4386088258","https://openalex.org/W4384662258"],"abstract_inverted_index":{"In":[0],"view":[1],"of":[2,37,68,76,107,120,131,141,167],"the":[3,18,33,63,71,105,108,112,116,127,147,152,160,165],"deficiency":[4],"in":[5,146],"traditional":[6],"bearing":[7,26,51,94,121,153,168],"fault":[8,21,27,52,80,95,128,154,169],"diagnosis":[9,14],"which":[10,60,151,157],"depended":[11],"on":[12,25,56,84,150],"manual":[13],"and":[15,35,46,70,87,103,111,118,136,143],"mechanical":[16],"theory,":[17],"deep":[19],"learning":[20],"detection":[22,53,81],"method":[23,54,110,133,161],"based":[24,55,83],"data-driven":[28],"was":[29,58,134,155],"studied.":[30],"By":[31],"analyzing":[32],"advantages":[34],"disadvantages":[36],"convolutional":[38],"neural":[39,43],"networks":[40,44],"(CNNs),":[41],"recurrent":[42],"(RNNs)":[45],"self-attention":[47,77],"mechanism,":[48],"a":[49],"rolling":[50,93],"CSAM":[57,88,109,132],"proposed,":[59],"effectively":[61],"integrated":[62],"powerful":[64],"feature":[65,73],"processing":[66,74],"ability":[67,75],"CNNs":[69,142],"local":[72],"mechanism.":[78],"Bearing":[79],"models":[82],"CNNs,":[85],"RNNs":[86,144],"are":[89],"respectively":[90,145],"constructed.":[91],"Typical":[92],"experimental":[96],"data":[97],"sets":[98],"were":[99],"selected":[100],"to":[101],"compare":[102],"analyze":[104],"effect":[106],"existing":[113],"algorithm":[114],"for":[115],"classification":[117],"identification":[119,129],"faults.":[122],"The":[123],"results":[124],"shown":[125],"that":[126,140,159],"rate":[130],"29.2%":[135],"9.5%":[137],"higher":[138],"than":[139],"test":[148],"dataset":[149],"determined,":[156],"verified":[158],"can":[162],"significantly":[163],"improve":[164],"accuracy":[166],"detection.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2021-03-15T00:00:00"}