{"id":"https://openalex.org/W4294168973","doi":"https://doi.org/10.3390/s22176628","title":"An Energy Data-Driven Approach for Operating Status Recognition of Machine Tools Based on Deep Learning","display_name":"An Energy Data-Driven Approach for Operating Status Recognition of Machine Tools Based on Deep Learning","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4294168973","doi":"https://doi.org/10.3390/s22176628","pmid":"https://pubmed.ncbi.nlm.nih.gov/36081086"},"language":"en","primary_location":{"id":"doi:10.3390/s22176628","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22176628","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/s22176628","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101604070","display_name":"Wei Yan","orcid":"https://orcid.org/0000-0002-0563-8092"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]},{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Wei Yan","raw_affiliation_strings":["Department of Mechanical Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK","School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430081, China"],"raw_orcid":"https://orcid.org/0000-0002-0563-8092","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK","institution_ids":["https://openalex.org/I79510175"]},{"raw_affiliation_string":"School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430081, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017803661","display_name":"Chenxun Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxun Lu","raw_affiliation_strings":["Academy of Green Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China","Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Green Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414092","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0001-9319-5940"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ying Liu","raw_affiliation_strings":["Department of Mechanical Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK"],"raw_orcid":"https://orcid.org/0000-0001-9319-5940","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062508997","display_name":"Xumei Zhang","orcid":"https://orcid.org/0000-0002-3022-5003"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xumei Zhang","raw_affiliation_strings":["School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430081, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100408696","display_name":"Hua Zhang","orcid":"https://orcid.org/0000-0002-3940-8746"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Zhang","raw_affiliation_strings":["Academy of Green Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Green Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100414092"],"corresponding_institution_ids":["https://openalex.org/I79510175"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.4066,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67656119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"22","issue":"17","first_page":"6628","last_page":"6628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11954","display_name":"Energy Efficiency and Management","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9538999795913696,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7289646863937378},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7134473919868469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6338780522346497},{"id":"https://openalex.org/keywords/machine-tool","display_name":"Machine tool","score":0.5990698933601379},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5563786029815674},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49735596776008606},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.47396963834762573},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44573357701301575},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4413588345050812},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4337235689163208},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4247097671031952},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23497620224952698}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7289646863937378},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7134473919868469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6338780522346497},{"id":"https://openalex.org/C5941749","wikidata":"https://www.wikidata.org/wiki/Q19768","display_name":"Machine tool","level":2,"score":0.5990698933601379},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5563786029815674},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49735596776008606},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.47396963834762573},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44573357701301575},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4413588345050812},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4337235689163208},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4247097671031952},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23497620224952698},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055585","descriptor_name":"Physical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055585","descriptor_name":"Physical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055585","descriptor_name":"Physical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s22176628","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22176628","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36081086","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36081086","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:https://orca.cardiff.ac.uk:152345","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:e0079a04bd9a47798aac477605e2743e","is_oa":true,"landing_page_url":"https://doaj.org/article/e0079a04bd9a47798aac477605e2743e","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":"Sensors, Vol 22, Iss 17, p 6628 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/17/6628/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22176628","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 17; Pages: 6628","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9460611","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9460611","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22176628","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22176628","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G436114521","display_name":null,"funder_award_id":"51975432","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4511197009","display_name":null,"funder_award_id":"202008420116","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":47,"referenced_works":["https://openalex.org/W1828392195","https://openalex.org/W1972215393","https://openalex.org/W1997754254","https://openalex.org/W2030891177","https://openalex.org/W2082504797","https://openalex.org/W2086804445","https://openalex.org/W2135513594","https://openalex.org/W2163605009","https://openalex.org/W2164207156","https://openalex.org/W2253429366","https://openalex.org/W2348794822","https://openalex.org/W2415594836","https://openalex.org/W2489162356","https://openalex.org/W2515217309","https://openalex.org/W2531224885","https://openalex.org/W2561517067","https://openalex.org/W2570836621","https://openalex.org/W2590599904","https://openalex.org/W2618530766","https://openalex.org/W2735135053","https://openalex.org/W2740956509","https://openalex.org/W2756789966","https://openalex.org/W2768138847","https://openalex.org/W2769189505","https://openalex.org/W2773013922","https://openalex.org/W2783851650","https://openalex.org/W2794015893","https://openalex.org/W2800437387","https://openalex.org/W2902395336","https://openalex.org/W2912113979","https://openalex.org/W2923486253","https://openalex.org/W2942145923","https://openalex.org/W2968645924","https://openalex.org/W3005225358","https://openalex.org/W3010966533","https://openalex.org/W3023585672","https://openalex.org/W3082756870","https://openalex.org/W3092059570","https://openalex.org/W3104156061","https://openalex.org/W3127745381","https://openalex.org/W3141664120","https://openalex.org/W3141790197","https://openalex.org/W3148738359","https://openalex.org/W3165082143","https://openalex.org/W3205610877","https://openalex.org/W4238024051","https://openalex.org/W7058578905"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W3010890513","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"Machine":[0],"tools,":[1,58],"as":[2,132,277],"an":[3,35,153,193],"indispensable":[4],"equipment":[5],"in":[6,13,162,260,285],"the":[7,25,40,48,51,56,60,68,78,83,89,97,145,148,158,163,168,174,184,203,206,217,233,236,241,246,255,258,261,272],"manufacturing":[8],"industry,":[9],"are":[10,165,171,176],"widely":[11],"used":[12,142],"industrial":[14],"production.":[15],"The":[16],"harsh":[17],"and":[18,32,67,88,106,173,181,254,264,280,287],"complex":[19],"working":[20,69],"environment":[21],"can":[22,72,140],"easily":[23],"cause":[24],"failure":[26,66],"of":[27,44,50,55,63,82,99,110,136,147,188,205,216,235,243,267],"machine":[28,45,57,64,84,122,138,149,207],"tools":[29,139],"during":[30],"operation,":[31],"there":[33],"is":[34,86,93,126,199,219,229],"urgent":[36],"requirement":[37],"to":[38,143,201,221,231],"improve":[39,222],"fault":[41,79,90],"diagnosis":[42,80,91],"ability":[43,92,109],"tools.":[46],"Through":[47],"identification":[49,223],"operating":[52],"state":[53],"(OS)":[54],"defining":[59],"time":[61,81],"point":[62],"tool":[65,85,123],"energy-consuming":[70,159],"unit":[71],"be":[73,141],"assessed.":[74],"In":[75,209],"this":[76,244,268],"way,":[77],"shortened":[87],"improved.":[94],"Aiming":[95],"at":[96],"problems":[98],"low":[100],"recognition":[101,113,125,262],"accuracy,":[102],"slow":[103],"convergence":[104],"speed":[105,266],"weak":[107],"generalization":[108],"traditional":[111,251],"OS":[112,124,146,164,204],"methods,":[114,253],"a":[115,211,226,278],"deep":[116],"learning":[117],"method":[118,187],"based":[119],"on":[120],"data-driven":[121],"proposed.":[127],"Various":[128],"power":[129,169,275],"data":[130,170,175,185,276],"(such":[131],"signals":[133],"or":[134],"images)":[135],"CNC":[137],"recognize":[144],"tool,":[150],"followed":[151],"by":[152,178],"intuitive":[154],"judgement":[155],"regarding":[156],"whether":[157],"units":[160],"included":[161],"faulty.":[166],"First,":[167],"collected,":[172],"preprocessed":[177],"noise":[179],"reduction":[180],"cropping":[182],"using":[183],"preprocessing":[186],"wavelet":[189],"transform":[190],"(WT).":[191],"Then,":[192],"AlexNet":[194],"Convolutional":[195],"Neural":[196],"Network":[197],"(ACNN)":[198],"built":[200],"identify":[202],"tool.":[208],"addition,":[210],"parameter":[212],"adaptive":[213],"adjustment":[214],"mechanism":[215],"ACNN":[218],"studied":[220],"performance.":[224],"Finally,":[225],"case":[227],"study":[228],"presented":[230],"verify":[232],"effectiveness":[234],"proposed":[237],"approach.":[238],"To":[239],"illustrate":[240],"superiority":[242,259],"method,":[245],"approach":[247],"was":[248],"compared":[249],"with":[250],"classification":[252],"results":[256],"reveal":[257],"accuracy":[263],"computing":[265],"AI":[269],"technology.":[270],"Moreover,":[271],"technique":[273],"uses":[274],"dataset,":[279],"also":[281],"demonstrates":[282],"good":[283],"progress":[284],"portability":[286],"anti-interference.":[288]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
