{"id":"https://openalex.org/W4320712905","doi":"https://doi.org/10.1109/access.2023.3244795","title":"Fault Diagnosis of Rotating Machinery Using Denoising-Integrated Sparse Autoencoder Based Health State Classification","display_name":"Fault Diagnosis of Rotating Machinery Using Denoising-Integrated Sparse Autoencoder Based Health State Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320712905","doi":"https://doi.org/10.1109/access.2023.3244795"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3244795","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3244795","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10044096.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":null,"license_id":null,"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/ielx7/6287639/6514899/10044096.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054947265","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0003-2214-9191"},"institutions":[{"id":"https://openalex.org/I4210163834","display_name":"Tianshui Normal University","ror":"https://ror.org/05kc6dc21","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163834"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Yang","raw_affiliation_strings":["School of Mechatronics and Automotive Engineering, Tianshui Normal University, Tianshui, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronics and Automotive Engineering, Tianshui Normal University, Tianshui, China","institution_ids":["https://openalex.org/I4210163834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000799818","display_name":"Guo Xie","orcid":"https://orcid.org/0000-0002-9948-453X"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Xie","raw_affiliation_strings":["School of Automation and Information Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061612114","display_name":"Yanxi Yang","orcid":"https://orcid.org/0000-0003-1563-2425"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxi Yang","raw_affiliation_strings":["School of Automation and Information Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054947265"],"corresponding_institution_ids":["https://openalex.org/I4210163834"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.6295,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82787621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"15174","last_page":"15183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9934999942779541,"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":0.992900013923645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.694611668586731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.643578290939331},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6247258186340332},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6206366419792175},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5286650657653809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5162529945373535},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.508948564529419},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4744877815246582},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4734881818294525},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.4175497889518738},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41189563274383545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38079673051834106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2621181607246399},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19800692796707153}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.694611668586731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.643578290939331},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6247258186340332},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6206366419792175},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5286650657653809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5162529945373535},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.508948564529419},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4744877815246582},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4734881818294525},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.4175497889518738},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41189563274383545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38079673051834106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2621181607246399},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19800692796707153},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3244795","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3244795","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10044096.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c085d63afcb94090b44a2e35f3fd1004","is_oa":true,"landing_page_url":"https://doaj.org/article/c085d63afcb94090b44a2e35f3fd1004","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 15174-15183 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3244795","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3244795","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10044096.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5298744082","display_name":null,"funder_award_id":"21JR1RE296","funder_id":"https://openalex.org/F4320322880","funder_display_name":"Natural Science Foundation of Gansu Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G969186304","display_name":null,"funder_award_id":"62063032","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"},{"id":"https://openalex.org/F4320322880","display_name":"Natural Science Foundation of Gansu Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4320712905.pdf","grobid_xml":"https://content.openalex.org/works/W4320712905.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W2013719875","https://openalex.org/W2021497603","https://openalex.org/W2048286157","https://openalex.org/W2098395403","https://openalex.org/W2174317074","https://openalex.org/W2219903032","https://openalex.org/W2299617127","https://openalex.org/W2317595875","https://openalex.org/W2530133016","https://openalex.org/W2549489119","https://openalex.org/W2562639359","https://openalex.org/W2564938190","https://openalex.org/W2593479727","https://openalex.org/W2611805286","https://openalex.org/W2737897717","https://openalex.org/W2767234670","https://openalex.org/W2771734292","https://openalex.org/W2807785433","https://openalex.org/W2919115771","https://openalex.org/W2948018258","https://openalex.org/W2981724826","https://openalex.org/W2990705538","https://openalex.org/W3008361768","https://openalex.org/W3010088906","https://openalex.org/W3020128465","https://openalex.org/W3043099717","https://openalex.org/W3126618193","https://openalex.org/W3193685497","https://openalex.org/W3210180182","https://openalex.org/W4210405831","https://openalex.org/W4229024440","https://openalex.org/W4285292502","https://openalex.org/W4292290851","https://openalex.org/W4311317366","https://openalex.org/W6728255800"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W3037110488","https://openalex.org/W1996858460"],"abstract_inverted_index":{"The":[0,123],"diagnostic":[1,58,148],"study":[2,128],"on":[3,9,138],"single-fault":[4],"with":[5],"distinguishing":[6],"features":[7,53],"based":[8,137,216],"monitoring":[10,28],"data":[11,160],"analysis":[12],"is":[13,82,118,143,156,162,171,191,199],"mature":[14],"and":[15,86,96,134,145,158,177,187,193,204,210],"fruitful":[16],"in":[17,42,79,90,120],"recent":[18],"years.":[19],"However,":[20],"the":[21,32,57,63,69,73,101,146,159,175,194,208,213],"early":[22,74,114,195],"fault":[23,50,105,139],"signals":[24,149],"collected":[25],"by":[26],"practical":[27,102],"systems":[29,81],"often":[30],"possess":[31],"following":[33],"characteristics:":[34],"1)":[35,131],"Fairly":[36],"weak":[37],"signal":[38],"strength;":[39],"2)":[40,152],"Submerged":[41],"powerful":[43],"background":[44],"noise;":[45],"3)":[46,164],"Coupling":[47],"of":[48,126,169,179,212],"different":[49,202],"data.":[51],"These":[52],"not":[54],"only":[55],"increase":[56],"difficulty,":[59],"but":[60],"also":[61],"make":[62],"existing":[64],"methods":[65],"hardly":[66],"to":[67,92,173],"get":[68],"desired":[70],"results.":[71],"Consequently,":[72],"compound":[75,115,196],"faults":[76,116,197],"diagnosis":[77,117,198],"commonly":[78],"industrial":[80,103],"still":[83],"a":[84,107,188],"thorny":[85],"urgent":[87],"problem.":[88],"Therefore,":[89],"order":[91],"solve":[93],"this":[94,121,127],"problem":[95],"provide":[97],"technical":[98],"support":[99],"for":[100,113],"machinery":[104],"diagnosis,":[106],"denoising-integrated":[108],"sparse":[109],"autoencoder":[110],"(DISAE)":[111],"model":[112,190],"proposed":[119],"paper.":[122],"innovation":[124],"points":[125],"mainly":[129],"include:":[130],"A":[132,153,165],"feature-enhanced":[133],"denoising":[135],"solution":[136],"sensitivity":[140],"degree":[141],"(FSD)":[142],"designed,":[144],"reconstructed":[147],"are":[150],"acquired.":[151],"disassociation":[154],"framework":[155],"formulated,":[157],"coupling":[161],"solved.":[163],"weight":[166],"constraint":[167],"term":[168],"SAE":[170],"constructed":[172],"improve":[174],"effectiveness":[176,209],"diversity":[178],"feature":[180],"learning.":[181],"4)":[182],"An":[183],"adaptive":[184],"loss":[185],"function":[186],"DISAE":[189,215],"formed,":[192],"achieved.":[200],"Finally,":[201],"trials":[203],"comparison":[205],"results":[206],"display":[207],"superiority":[211],"designed":[214],"scheme.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
