{"id":"https://openalex.org/W4205348131","doi":"https://doi.org/10.1109/access.2021.3136235","title":"Mining of Weak Fault Information Adaptively Based on DNN Inversion Estimation for Fault Diagnosis of Rotating Machinery","display_name":"Mining of Weak Fault Information Adaptively Based on DNN Inversion Estimation for Fault Diagnosis of Rotating Machinery","publication_year":2021,"publication_date":"2021-12-16","ids":{"openalex":"https://openalex.org/W4205348131","doi":"https://doi.org/10.1109/access.2021.3136235"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3136235","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3136235","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09654228.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09654228.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026415185","display_name":"Duncai Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Duncai Lei","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018320716","display_name":"Longting Chen","orcid":"https://orcid.org/0000-0003-4014-7157"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longting Chen","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4014-7157","affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114417985","display_name":"Jinyuan Tang","orcid":"https://orcid.org/0000-0001-7186-1316"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyuan Tang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026415185"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4163,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63298766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"6147","last_page":"6164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9973000288009644,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.7655993700027466},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6539832949638367},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6166436672210693},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5545863509178162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5387865304946899},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5339020490646362},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5182852149009705},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49199315905570984},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43947505950927734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7655993700027466},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6539832949638367},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6166436672210693},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5545863509178162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5387865304946899},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5339020490646362},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5182852149009705},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49199315905570984},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43947505950927734},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3136235","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3136235","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09654228.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f426185656944cd287549620f2e929d9","is_oa":true,"landing_page_url":"https://doaj.org/article/f426185656944cd287549620f2e929d9","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":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 6147-6164 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3136235","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3136235","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09654228.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4152365624","display_name":null,"funder_award_id":"2017-VII-0003-0096","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G6439785817","display_name":null,"funder_award_id":"2018YFB2001300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205348131.pdf","grobid_xml":"https://content.openalex.org/works/W4205348131.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1482613239","https://openalex.org/W1836465849","https://openalex.org/W1964371315","https://openalex.org/W2007200746","https://openalex.org/W2019505419","https://openalex.org/W2022968078","https://openalex.org/W2028119131","https://openalex.org/W2040070030","https://openalex.org/W2063922127","https://openalex.org/W2064630666","https://openalex.org/W2095705004","https://openalex.org/W2100495367","https://openalex.org/W2194775991","https://openalex.org/W2219903032","https://openalex.org/W2258884143","https://openalex.org/W2509065397","https://openalex.org/W2612554669","https://openalex.org/W2765516066","https://openalex.org/W2768753204","https://openalex.org/W2772084711","https://openalex.org/W2793013236","https://openalex.org/W2884166367","https://openalex.org/W2900897982","https://openalex.org/W2904301334","https://openalex.org/W2904609444","https://openalex.org/W2907781804","https://openalex.org/W2914776782","https://openalex.org/W2916423030","https://openalex.org/W2945498092","https://openalex.org/W2962956752","https://openalex.org/W2983624201","https://openalex.org/W3098357269","https://openalex.org/W6638667902","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W1980470275","https://openalex.org/W2086322839","https://openalex.org/W2344971351","https://openalex.org/W2363509351","https://openalex.org/W2377084220","https://openalex.org/W1990581988","https://openalex.org/W2384206310","https://openalex.org/W2354391290","https://openalex.org/W2112313195","https://openalex.org/W2372829958"],"abstract_inverted_index":{"Fault":[0],"feature":[1,31,151],"extraction":[2,32],"plays":[3],"a":[4,89,106],"significant":[5],"role":[6],"in":[7,12,147],"bearing":[8,166],"fault":[9,14,54,112,159],"diagnosis,":[10,67],"especially":[11],"incipient":[13],"period.":[15],"Recently,":[16],"deep":[17,40,76,118],"neural":[18,41,77,119],"network":[19,42,78,120,144],"has":[20],"been":[21],"favored":[22],"by":[23],"many":[24,80],"researchers":[25],"due":[26],"to":[27],"its":[28],"excellent":[29],"hierarchical":[30],"capabilities.":[33],"The":[34],"existing":[35],"diagnosis":[36,55],"methods":[37],"based":[38,116],"on":[39,117],"mostly":[43],"take":[44],"original":[45,149,163],"condition":[46],"monitoring":[47],"data":[48],"as":[49],"input":[50,135,150],"and":[51,171],"further":[52],"convert":[53],"into":[56],"pattern":[57,136],"recognition":[58],"issues.":[59],"Although":[60],"it":[61,68],"improves":[62],"the":[63,84,96,132,139,148,157,162,169,174],"level":[64,98],"of":[65,92,99,109,125,143,173],"intelligent":[66],"is":[69,114],"still":[70],"confronted":[71],"with":[72],"practical":[73,97],"problems.":[74],"Since":[75],"includes":[79],"non-linear":[81],"mapping":[82],"layers,":[83],"extracted":[85],"fault-related":[86],"features":[87],"show":[88],"high":[90],"degree":[91],"abstraction,":[93],"which":[94],"reduces":[95],"this":[100,104,129],"technology.":[101],"Aimed":[102],"at":[103],"problem,":[105],"mining":[107],"method":[108,130],"understandably":[110],"weak":[111,158],"information":[113,160],"proposed":[115,175],"inversion":[121],"estimation.":[122],"From":[123],"perspective":[124],"neuron":[126],"response":[127],"degree,":[128],"mines":[131],"most":[133],"sensitive":[134],"that":[137],"maximizes":[138],"neuron\u2019s":[140],"activation":[141],"value":[142],"output":[145],"layer":[146],"space.":[152],"It":[153],"can":[154],"intuitively":[155],"mine":[156],"from":[161],"signal.":[164],"Two":[165],"experiments":[167],"verify":[168],"effectiveness":[170],"reliability":[172],"method.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}