{"id":"https://openalex.org/W4377092279","doi":"https://doi.org/10.3390/s23104921","title":"Gearbox Fault Diagnosis Method Based on Multidomain Information Fusion","display_name":"Gearbox Fault Diagnosis Method Based on Multidomain Information Fusion","publication_year":2023,"publication_date":"2023-05-19","ids":{"openalex":"https://openalex.org/W4377092279","doi":"https://doi.org/10.3390/s23104921","pmid":"https://pubmed.ncbi.nlm.nih.gov/37430835"},"language":"en","primary_location":{"id":"doi:10.3390/s23104921","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23104921","pdf_url":"https://www.mdpi.com/1424-8220/23/10/4921/pdf?version=1684738407","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://www.mdpi.com/1424-8220/23/10/4921/pdf?version=1684738407","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109484358","display_name":"Fengyun Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fengyun Xie","raw_affiliation_strings":["Life-Cycle Technology Innovation Center of Intelligent Transportation Equipment, Nanchang 330013, China","School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"Life-Cycle Technology Innovation Center of Intelligent Transportation Equipment, Nanchang 330013, China","institution_ids":[]},{"raw_affiliation_string":"School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101974907","display_name":"Wang Gan","orcid":"https://orcid.org/0009-0002-9270-7769"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gan Wang","raw_affiliation_strings":["School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022800604","display_name":"Jiandong Shang","orcid":"https://orcid.org/0009-0001-7673-2641"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiandong Shang","raw_affiliation_strings":["School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387509","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0001-6654-4965"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057973825","display_name":"Qian Xiao","orcid":"https://orcid.org/0000-0001-5410-847X"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Xiao","raw_affiliation_strings":["Life-Cycle Technology Innovation Center of Intelligent Transportation Equipment, Nanchang 330013, China","School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"Life-Cycle Technology Innovation Center of Intelligent Transportation Equipment, Nanchang 330013, China","institution_ids":[]},{"raw_affiliation_string":"School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079376293","display_name":"Xie San-mao","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanmao Xie","raw_affiliation_strings":["Life-Cycle Technology Innovation Center of Intelligent Transportation Equipment, Nanchang 330013, China","School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"Life-Cycle Technology Innovation Center of Intelligent Transportation Equipment, Nanchang 330013, China","institution_ids":[]},{"raw_affiliation_string":"School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109484358"],"corresponding_institution_ids":["https://openalex.org/I13985625"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.4957,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81809171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"23","issue":"10","first_page":"4921","last_page":"4921"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.998199999332428,"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":0.998199999332428,"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":0.9872999787330627,"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":0.9768000245094299,"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/computer-science","display_name":"Computer science","score":0.652540922164917},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6406742334365845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6364777684211731},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6346246600151062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5815774202346802},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.567730188369751},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5409414172172546},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4876822233200073},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.48438435792922974},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4656083881855011},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45982933044433594},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4455309510231018},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43170166015625},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43154582381248474},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4168717563152313},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.38009944558143616},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2813371419906616},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20726987719535828},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10456573963165283},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.10413074493408203},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06509855389595032}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.652540922164917},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6406742334365845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6364777684211731},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6346246600151062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5815774202346802},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.567730188369751},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5409414172172546},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4876822233200073},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.48438435792922974},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4656083881855011},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45982933044433594},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4455309510231018},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43170166015625},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43154582381248474},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4168717563152313},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.38009944558143616},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2813371419906616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20726987719535828},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10456573963165283},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.10413074493408203},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06509855389595032},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s23104921","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23104921","pdf_url":"https://www.mdpi.com/1424-8220/23/10/4921/pdf?version=1684738407","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:37430835","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37430835","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:pubmedcentral.nih.gov:10223782","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10223782","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10223782/pdf/sensors-23-04921.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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"},{"id":"pmh:oai:doaj.org/article:57f33e321a7c4df980f78a24aba8127e","is_oa":true,"landing_page_url":"https://doaj.org/article/57f33e321a7c4df980f78a24aba8127e","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 23, Iss 10, p 4921 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23104921","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23104921","pdf_url":"https://www.mdpi.com/1424-8220/23/10/4921/pdf?version=1684738407","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377092279.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W2013505142","https://openalex.org/W2030649852","https://openalex.org/W2047720174","https://openalex.org/W2049550263","https://openalex.org/W2172070753","https://openalex.org/W2346089791","https://openalex.org/W2766414400","https://openalex.org/W2788684127","https://openalex.org/W2803859823","https://openalex.org/W2803978172","https://openalex.org/W2894780211","https://openalex.org/W2921793324","https://openalex.org/W2922660557","https://openalex.org/W2932115805","https://openalex.org/W2939053413","https://openalex.org/W2955613453","https://openalex.org/W2963662479","https://openalex.org/W2978752464","https://openalex.org/W2987532329","https://openalex.org/W2994831808","https://openalex.org/W2998506103","https://openalex.org/W3001472289","https://openalex.org/W3004169027","https://openalex.org/W3004235922","https://openalex.org/W3006342871","https://openalex.org/W3021827168","https://openalex.org/W3087264404","https://openalex.org/W3136021864","https://openalex.org/W3142292878","https://openalex.org/W3156211591","https://openalex.org/W3160217442","https://openalex.org/W3177437195","https://openalex.org/W3189548043","https://openalex.org/W3206729672","https://openalex.org/W3207740732","https://openalex.org/W3214668374","https://openalex.org/W4200062069","https://openalex.org/W4200264590","https://openalex.org/W4200485581","https://openalex.org/W4206352145","https://openalex.org/W4206919574","https://openalex.org/W4210741351","https://openalex.org/W4221059698","https://openalex.org/W4226209181","https://openalex.org/W4240658626","https://openalex.org/W4289950724","https://openalex.org/W4290599699","https://openalex.org/W6773563761","https://openalex.org/W6783714517","https://openalex.org/W6802699684"],"related_works":["https://openalex.org/W2326454079","https://openalex.org/W564939545","https://openalex.org/W4225639054","https://openalex.org/W2533590149","https://openalex.org/W4200633555","https://openalex.org/W4293267999","https://openalex.org/W2560154230","https://openalex.org/W2964898233","https://openalex.org/W2029494570","https://openalex.org/W2129331087"],"abstract_inverted_index":{"Traditional":[0],"methods":[1],"of":[2,32,49,201],"gearbox":[3,19,36,202],"fault":[4,20,162,203,215],"diagnosis":[5,21],"rely":[6],"heavily":[7],"on":[8,24],"manual":[9],"experience.":[10],"To":[11],"address":[12],"this":[13,190,210],"problem,":[14],"our":[15],"study":[16],"proposes":[17],"a":[18,33,80,98,107,115],"method":[22,187],"based":[23],"multidomain":[25,85],"information":[26,86],"fusion.":[27],"An":[28,39],"experimental":[29,184],"platform":[30],"consisting":[31],"JZQ250":[34],"fixed-axis":[35],"was":[37,42,56,72,93,97,114,192],"built.":[38],"acceleration":[40],"sensor":[41],"used":[43,57,156,168],"to":[44,58,64,74,78,157],"obtain":[45,79],"the":[46,50,60,68,135,147,161,186,213],"vibration":[47,70,109],"signal":[48,61,71],"gearbox.":[51],"Singular":[52],"value":[53],"decomposition":[54],"(SVD)":[55],"preprocess":[59],"in":[62,189,199,209],"order":[63],"reduce":[65],"noise,":[66],"and":[67,111,159,179,197],"processed":[69],"subjected":[73],"short-time":[75,124],"Fourier":[76,125],"transform":[77,126],"two-dimensional":[81,116],"time-frequency":[82,128],"map.":[83],"A":[84],"fusion":[87],"convolutional":[88,100,117],"neural":[89,101,118],"network":[90,102,119],"(CNN)":[91],"model":[92,104,121,165,207],"constructed.":[94],"Channel":[95],"1":[96],"one-dimensional":[99,108],"(1DCNN)":[103],"that":[105,122],"input":[106,123,145],"signal,":[110],"channel":[112],"2":[113],"(2DCNN)":[120],"(STFT)":[127],"images.":[129],"The":[130,164,206],"feature":[131,142],"vectors":[132,143],"extracted":[133],"using":[134],"two":[136],"channels":[137],"were":[138,155],"then":[139],"fused":[140],"into":[141,146],"for":[144],"classification":[148],"model.":[149],"Finally,":[150],"support":[151],"vector":[152],"machines":[153],"(SVM)":[154],"identify":[158],"classify":[160],"types.":[163],"training":[166,171],"performance":[167],"multiple":[169],"methods:":[170],"set,":[172,174],"verification":[173],"loss":[175],"curve,":[176],"accuracy":[177,217],"curve":[178],"t-SNE":[180],"visualization":[181],"(t-SNE).":[182],"Through":[183],"verification,":[185],"proposed":[188,208],"paper":[191,211],"compared":[193],"with":[194],"FFT-2DCNN,":[195],"1DCNN-SVM":[196],"2DCNN-SVM":[198],"terms":[200],"recognition":[204,216],"performance.":[205],"had":[212],"highest":[214],"(98.08%).":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}