{"id":"https://openalex.org/W2954554785","doi":"https://doi.org/10.1109/icit.2019.8754993","title":"A Novel Data-Driven Fault Classification Method and its Application to DC Motor","display_name":"A Novel Data-Driven Fault Classification Method and its Application to DC Motor","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2954554785","doi":"https://doi.org/10.1109/icit.2019.8754993","mag":"2954554785"},"language":"en","primary_location":{"id":"doi:10.1109/icit.2019.8754993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2019.8754993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100379449","display_name":"Tianyu Liu","orcid":"https://orcid.org/0000-0002-9583-8740"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Liu","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087736924","display_name":"Hao Luo","orcid":"https://orcid.org/0000-0003-2143-2438"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Luo","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089143504","display_name":"Zhenkun Yang","orcid":"https://orcid.org/0000-0002-6377-6629"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenkun Yang","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1261","last_page":"1266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998000264167786,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9998000264167786,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9713000059127808,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6375992894172668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5588511228561401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.519443690776825},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.47611507773399353},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4591727554798126},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3993885815143585},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3796454071998596},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3274034261703491}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6375992894172668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5588511228561401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.519443690776825},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.47611507773399353},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4591727554798126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3993885815143585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3796454071998596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3274034261703491},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit.2019.8754993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2019.8754993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W108857541","https://openalex.org/W2037044427","https://openalex.org/W2055561145","https://openalex.org/W2139212933","https://openalex.org/W2413579316","https://openalex.org/W2417591378","https://openalex.org/W2473060649","https://openalex.org/W2494112937","https://openalex.org/W2521846646","https://openalex.org/W2560440155","https://openalex.org/W2588638671","https://openalex.org/W2744691695","https://openalex.org/W2754813553","https://openalex.org/W2895996702","https://openalex.org/W2897534289","https://openalex.org/W2903107833","https://openalex.org/W2907102214","https://openalex.org/W3195133498","https://openalex.org/W4231197448","https://openalex.org/W6755563171"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W1980100242"],"abstract_inverted_index":{"As":[0],"the":[1,53,62,69,73,76,93,101,107,127,144],"industrial":[2,22,39],"system":[3,40,63,80,102,118,141],"evolved":[4],"increasingly":[5],"sophisticated":[6],"in":[7,19,147],"recent":[8],"years,":[9],"fault":[10,31],"detection":[11,32],"and":[12,33,64,103,155],"diagnose":[13],"has":[14,150],"attracted":[15],"extensive":[16],"attentions":[17],"either":[18],"academic":[20],"or":[21],"field.":[23],"This":[24],"paper":[25,149],"proposes":[26],"a":[27,86,122,136,151],"novel":[28],"method":[29],"of":[30,55,61,72,100,109,117,129],"classification":[34],"that":[35,143],"applied":[36],"to":[37,48,91,125],"an":[38],"such":[41],"as":[42,68],"DC":[43,139],"motor.":[44],"The":[45,131],"key":[46],"point":[47],"this":[49,148],"methodology":[50],"is":[51,89],"choosing":[52],"reciprocals":[54,108],"H":[56,95,112],"<sub":[57,96,113],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[58,97,114],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u221e</sub>":[59,98,115],"-norm":[60,99,116],"its":[65],"corresponding":[66,104],"subsystems":[67],"feature":[70],"quantities":[71],"classifier.":[74],"In":[75],"actual":[77],"production":[78],"process,":[79],"parameters":[81],"will":[82],"inevitably":[83],"change.":[84],"Hence,":[85],"data-driven":[87],"solution":[88],"indispensable":[90],"estimate":[92],"real":[94],"subsystems.":[105],"Furthermore":[106],"those":[110],"real-time":[111],"are":[119],"fed":[120],"into":[121],"SVM":[123],"classifier":[124],"identify":[126],"type":[128],"fault.":[130],"simulation":[132],"studies":[133],"based":[134],"on":[135],"double":[137],"loop":[138],"motor":[140],"indicate":[142],"scheme":[145],"proposed":[146],"relatively":[152],"good":[153],"accuracy":[154],"convergence.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
