{"id":"https://openalex.org/W4294672636","doi":"https://doi.org/10.1109/rcar54675.2022.9872243","title":"A Fault Diagnosis Method Based on EMD-SVM with Multi-Feature Fusion via Sound Signals","display_name":"A Fault Diagnosis Method Based on EMD-SVM with Multi-Feature Fusion via Sound Signals","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4294672636","doi":"https://doi.org/10.1109/rcar54675.2022.9872243"},"language":"en","primary_location":{"id":"doi:10.1109/rcar54675.2022.9872243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar54675.2022.9872243","pdf_url":null,"source":{"id":"https://openalex.org/S4363608312","display_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"},"type":"article","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/A5070908737","display_name":"Xiaojing Yin","orcid":"https://orcid.org/0000-0002-5688-9473"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojing Yin","raw_affiliation_strings":["Changchun University of Technology,School of Mechanical and Electrical Engineering,Changchun,China,130012"],"affiliations":[{"raw_affiliation_string":"Changchun University of Technology,School of Mechanical and Electrical Engineering,Changchun,China,130012","institution_ids":["https://openalex.org/I4385474403","https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039956891","display_name":"Qiangqiang He","orcid":null},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangqiang He","raw_affiliation_strings":["Changchun University of Technology,School of Mechanical and Electrical Engineering,Changchun,China,130012"],"affiliations":[{"raw_affiliation_string":"Changchun University of Technology,School of Mechanical and Electrical Engineering,Changchun,China,130012","institution_ids":["https://openalex.org/I4385474403","https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012748861","display_name":"Shouxin Peng","orcid":"https://orcid.org/0000-0002-1145-6498"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouxin Peng","raw_affiliation_strings":["Changchun University of Technology,School of Mechanical and Electrical Engineering,Changchun,China,130012"],"affiliations":[{"raw_affiliation_string":"Changchun University of Technology,School of Mechanical and Electrical Engineering,Changchun,China,130012","institution_ids":["https://openalex.org/I4385474403","https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433375","display_name":"Yu Zhang","orcid":"https://orcid.org/0009-0005-8353-2946"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Changchun University of Technology,School of Mechanical and Electrical Engineering,Changchun,China,130012"],"affiliations":[{"raw_affiliation_string":"Changchun University of Technology,School of Mechanical and Electrical Engineering,Changchun,China,130012","institution_ids":["https://openalex.org/I4385474403","https://openalex.org/I4385474403"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011254289","display_name":"Bangcheng Zhang","orcid":"https://orcid.org/0000-0001-9490-0170"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]},{"id":"https://openalex.org/I4210143016","display_name":"Changchun Institute of Technology","ror":"https://ror.org/03r6wam78","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143016"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangcheng Zhang","raw_affiliation_strings":["Changchun University of Technology,School of Mechanical and Electrical Engineering,Changchun,China,130012","School of Mechanical & Automotive Engineering, Changchun Institute of Technology, Changchun, Jilin, China"],"affiliations":[{"raw_affiliation_string":"Changchun University of Technology,School of Mechanical and Electrical Engineering,Changchun,China,130012","institution_ids":["https://openalex.org/I4385474403","https://openalex.org/I4385474403"]},{"raw_affiliation_string":"School of Mechanical & Automotive Engineering, Changchun Institute of Technology, Changchun, Jilin, China","institution_ids":["https://openalex.org/I4210143016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070908737"],"corresponding_institution_ids":["https://openalex.org/I4385474403"],"apc_list":null,"apc_paid":null,"fwci":1.7688,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85096057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"540","last_page":"544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.991599977016449,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8248230814933777},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.7738665342330933},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7406740188598633},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7395842671394348},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6618402600288391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6414328813552856},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5356513857841492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.527793824672699},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5194318294525146},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5046354532241821},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.44999516010284424},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4494931697845459},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4215569496154785},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4163261353969574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14939290285110474},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14128509163856506},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.10434666275978088},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06996679306030273}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8248230814933777},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.7738665342330933},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7406740188598633},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7395842671394348},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6618402600288391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6414328813552856},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5356513857841492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.527793824672699},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5194318294525146},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5046354532241821},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.44999516010284424},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4494931697845459},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4215569496154785},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4163261353969574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14939290285110474},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14128509163856506},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.10434666275978088},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06996679306030273},{"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},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar54675.2022.9872243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar54675.2022.9872243","pdf_url":null,"source":{"id":"https://openalex.org/S4363608312","display_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2078994304","https://openalex.org/W2317595875","https://openalex.org/W2356727048","https://openalex.org/W2513828693","https://openalex.org/W2588926225","https://openalex.org/W2589171657","https://openalex.org/W2593976926","https://openalex.org/W2789008277","https://openalex.org/W2795818889","https://openalex.org/W2812001514","https://openalex.org/W2959675909","https://openalex.org/W2998780022","https://openalex.org/W3015362700","https://openalex.org/W3086994053","https://openalex.org/W3196350917","https://openalex.org/W3197740711","https://openalex.org/W4214526929","https://openalex.org/W7066744227"],"related_works":["https://openalex.org/W2361591792","https://openalex.org/W2336974148","https://openalex.org/W2345184372","https://openalex.org/W154259412","https://openalex.org/W2546942002","https://openalex.org/W2187500075","https://openalex.org/W2999912646","https://openalex.org/W2772780115","https://openalex.org/W2354791766","https://openalex.org/W3096162641"],"abstract_inverted_index":{"In":[0,34,65],"recent":[1],"years,":[2],"sound":[3,61],"signal-based":[4],"fault":[5,16,31,38,90,105],"diagnosis":[6,17,32,39],"methods":[7,24],"have":[8],"been":[9],"investigated.":[10],"However,":[11],"in":[12],"the":[13,45,66,77,80,89,95,111,115,121,124,129,137,140,144],"field":[14],"of":[15,97,123,139],"for":[18,136],"nonlinear":[19],"and":[20,52,79,110],"non-stationary":[21],"signals,":[22],"traditional":[23],"based":[25,43],"on":[26,44,101],"single-one":[27],"features":[28,106,113,131],"receive":[29],"low":[30],"accuracy.":[33],"this":[35],"paper,":[36],"a":[37],"method":[40,51,146],"that":[41,86],"is":[42,63,147],"empirical":[46],"mode":[47,83],"decomposition":[48],"signal":[49],"processing":[50],"support":[53],"vector":[54],"machine":[55],"(EMD-SVM)":[56],"with":[57,114],"multi-feature":[58],"fusion":[59,112,130],"via":[60],"signals":[62,72],"proposed.":[64],"proposed":[67,145],"method,":[68],"multi-frequency":[69],"scale":[70],"decomposed":[71],"are":[73,92,107,118,132],"first":[74],"obtained":[75],"by":[76,150],"EMD,":[78],"several":[81],"instinct":[82],"functions":[84],"(IMFs)":[85],"best":[87],"characterize":[88],"states":[91],"selected":[93,103],"through":[94,120],"principle":[96],"maximum":[98],"kurtosis.":[99],"Based":[100],"these":[102],"IMFs,":[104],"extracted":[108],"respectively,":[109],"lowest":[116],"correlation":[117,126],"generated":[119],"analysis":[122],"Pearson":[125],"coefficient.":[127],"Subsequently,":[128],"used":[133],"as":[134],"input":[135],"training":[138],"SVM":[141],"model.":[142],"Finally,":[143],"effectively":[148],"verified":[149],"an":[151],"automobile":[152],"rearview":[153],"mirror":[154],"folding":[155],"experiment.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}