{"id":"https://openalex.org/W1564484096","doi":"https://doi.org/10.1109/i2mtc.2015.7151275","title":"Induction motor fault diagnosis using multiple class feature selection","display_name":"Induction motor fault diagnosis using multiple class feature selection","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1564484096","doi":"https://doi.org/10.1109/i2mtc.2015.7151275","mag":"1564484096"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2015.7151275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2015.7151275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","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/A5012152448","display_name":"Xueliang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueliang Yang","raw_affiliation_strings":["Department of Mechanical Engineering","School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering","institution_ids":[]},{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011148961","display_name":"Ruqiang Yan","orcid":"https://orcid.org/0000-0002-1250-4084"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruqiang Yan","raw_affiliation_strings":["Department of Mechanical Engineering","School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering","institution_ids":[]},{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060566070","display_name":"Robert X. Gao","orcid":"https://orcid.org/0000-0003-3595-3728"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert X. Gao","raw_affiliation_strings":["University of Connecticut, Storrs, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7266,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.90426664,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"256","last_page":"260"},"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":0.9865000247955322,"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":0.9810000061988831,"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/induction-motor","display_name":"Induction motor","score":0.6945663690567017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6580888032913208},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6440526247024536},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6200693249702454},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6132462620735168},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5042725801467896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45182177424430847},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41389143466949463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39048901200294495},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16376519203186035},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09835752844810486},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.06070646643638611}],"concepts":[{"id":"https://openalex.org/C80962145","wikidata":"https://www.wikidata.org/wiki/Q207450","display_name":"Induction motor","level":3,"score":0.6945663690567017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6580888032913208},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6440526247024536},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6200693249702454},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6132462620735168},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5042725801467896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45182177424430847},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41389143466949463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39048901200294495},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16376519203186035},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09835752844810486},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.06070646643638611},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.1109/i2mtc.2015.7151275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2015.7151275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1554944419","https://openalex.org/W1967257921","https://openalex.org/W1970529298","https://openalex.org/W1978053629","https://openalex.org/W1986949174","https://openalex.org/W1993732771","https://openalex.org/W2024594469","https://openalex.org/W2033566011","https://openalex.org/W2034838676","https://openalex.org/W2038331350","https://openalex.org/W2063978378","https://openalex.org/W2071908367","https://openalex.org/W2084880958","https://openalex.org/W2100495423","https://openalex.org/W2128873747","https://openalex.org/W2132265582","https://openalex.org/W2132383137","https://openalex.org/W2141188346","https://openalex.org/W2151497171","https://openalex.org/W2154636369","https://openalex.org/W2154872931","https://openalex.org/W2222577885","https://openalex.org/W3148981562","https://openalex.org/W3215186461"],"related_works":["https://openalex.org/W2004189302","https://openalex.org/W1644808516","https://openalex.org/W2951960179","https://openalex.org/W2374401487","https://openalex.org/W2353382192","https://openalex.org/W2131593645","https://openalex.org/W2546624568","https://openalex.org/W2488088652","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,94],"effective":[4,95],"and":[5,36,63],"practical":[6],"multiple":[7],"class":[8],"feature":[9,48,61,98],"selection":[10],"(MCFS)":[11],"approach":[12],"for":[13,72,97],"induction":[14,73,105],"motor":[15,74,106],"fault":[16,75,84,107],"diagnosis.":[17,108],"Wavelet":[18],"transform":[19],"is":[20,52],"applied":[21],"to":[22,44,55,67],"extracting":[23],"energy":[24,40],"features":[25,41],"at":[26],"some":[27],"specific":[28],"frequency":[29],"components":[30],"from":[31,59],"both":[32],"stator":[33],"current":[34],"signals":[35],"vibration":[37],"signals.":[38],"These":[39],"are":[42],"collected":[43],"form":[45],"a":[46,68,82],"high-dimensional":[47],"vector.":[49],"MCFS":[50,89],"algorithm":[51,96],"then":[53],"introduced":[54],"select":[56],"representative":[57],"ones":[58],"the":[60,88,102],"vector":[62],"used":[64,92],"as":[65,93],"input":[66],"random":[69],"forest":[70],"classifier":[71],"pattern":[76],"recognition.":[77],"Experimental":[78],"study":[79],"performed":[80],"on":[81],"machine":[83],"simulator":[85],"indicates":[86],"that":[87],"can":[90],"be":[91],"dimension":[99],"reduction":[100],"in":[101],"field":[103],"of":[104]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}