{"id":"https://openalex.org/W2797521339","doi":"https://doi.org/10.1109/tim.2018.2813820","title":"Incipient Broken Rotor Bar Detection in Induction Motors Using Vibration Signals and the Orthogonal Matching Pursuit Algorithm","display_name":"Incipient Broken Rotor Bar Detection in Induction Motors Using Vibration Signals and the Orthogonal Matching Pursuit Algorithm","publication_year":2018,"publication_date":"2018-04-09","ids":{"openalex":"https://openalex.org/W2797521339","doi":"https://doi.org/10.1109/tim.2018.2813820","mag":"2797521339"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2018.2813820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2018.2813820","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5071879049","display_name":"Carlos Morales-Perez","orcid":"https://orcid.org/0000-0003-2378-7021"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Carlos Morales-Perez","raw_affiliation_strings":["Electronics Department, National Institute for Astrophysics, Optics and Electronics, Puebla, Mexico"],"raw_orcid":"https://orcid.org/0000-0003-2378-7021","affiliations":[{"raw_affiliation_string":"Electronics Department, National Institute for Astrophysics, Optics and Electronics, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010423760","display_name":"Jose Rangel\u2010Magdaleno","orcid":"https://orcid.org/0000-0003-2785-5060"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Jose Rangel-Magdaleno","raw_affiliation_strings":["Electronics Department, National Institute for Astrophysics, Optics and Electronics, Puebla, Mexico"],"raw_orcid":"https://orcid.org/0000-0003-2785-5060","affiliations":[{"raw_affiliation_string":"Electronics Department, National Institute for Astrophysics, Optics and Electronics, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032036781","display_name":"Hayde Peregrina\u2010Barreto","orcid":"https://orcid.org/0000-0002-8623-091X"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Hayde Peregrina-Barreto","raw_affiliation_strings":["Computer Science Department, National Institute for Astrophysics, Optics and Electronics, Puebla, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-8623-091X","affiliations":[{"raw_affiliation_string":"Computer Science Department, National Institute for Astrophysics, Optics and Electronics, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087434144","display_name":"Juan P. Am\u00e9zquita-S\u00e1nchez","orcid":"https://orcid.org/0000-0002-9559-0220"},"institutions":[{"id":"https://openalex.org/I157492648","display_name":"Autonomous University of Queretaro","ror":"https://ror.org/00v8fdc16","country_code":"MX","type":"education","lineage":["https://openalex.org/I157492648"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Juan Pablo Amezquita-Sanchez","raw_affiliation_strings":["ENAP-Research Group, Autonomous University of Queretaro, Santiago de Quer\u00e9taro, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-9559-0220","affiliations":[{"raw_affiliation_string":"ENAP-Research Group, Autonomous University of Queretaro, Santiago de Quer\u00e9taro, Mexico","institution_ids":["https://openalex.org/I157492648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048063678","display_name":"Martin Valtierra\u2010Rodriguez","orcid":"https://orcid.org/0000-0003-3839-1396"},"institutions":[{"id":"https://openalex.org/I157492648","display_name":"Autonomous University of Queretaro","ror":"https://ror.org/00v8fdc16","country_code":"MX","type":"education","lineage":["https://openalex.org/I157492648"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Martin Valtierra-Rodriguez","raw_affiliation_strings":["ENAP-Research Group, Autonomous University of Queretaro, Santiago de Quer\u00e9taro, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENAP-Research Group, Autonomous University of Queretaro, Santiago de Quer\u00e9taro, Mexico","institution_ids":["https://openalex.org/I157492648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.5739,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.97148383,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"67","issue":"9","first_page":"2058","last_page":"2068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","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/T10220","display_name":"Machine Fault Diagnosis Techniques","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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9965999722480774,"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/matching-pursuit","display_name":"Matching pursuit","score":0.7869476079940796},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5523166656494141},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.541283369064331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5348220467567444},{"id":"https://openalex.org/keywords/induction-motor","display_name":"Induction motor","score":0.5294781923294067},{"id":"https://openalex.org/keywords/bar","display_name":"Bar (unit)","score":0.5194385051727295},{"id":"https://openalex.org/keywords/rotor","display_name":"Rotor (electric)","score":0.49718788266181946},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.4878556728363037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47552111744880676},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.45242229104042053},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.41965168714523315},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4167101979255676},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3531684875488281},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24759796261787415},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.17242085933685303},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.1087295413017273},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.0780506432056427},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0767468810081482}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.7869476079940796},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5523166656494141},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.541283369064331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5348220467567444},{"id":"https://openalex.org/C80962145","wikidata":"https://www.wikidata.org/wiki/Q207450","display_name":"Induction motor","level":3,"score":0.5294781923294067},{"id":"https://openalex.org/C188721877","wikidata":"https://www.wikidata.org/wiki/Q103510","display_name":"Bar (unit)","level":2,"score":0.5194385051727295},{"id":"https://openalex.org/C17281054","wikidata":"https://www.wikidata.org/wiki/Q193466","display_name":"Rotor (electric)","level":2,"score":0.49718788266181946},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.4878556728363037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47552111744880676},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.45242229104042053},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41965168714523315},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4167101979255676},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3531684875488281},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24759796261787415},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.17242085933685303},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.1087295413017273},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0780506432056427},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0767468810081482},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2018.2813820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2018.2813820","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.75,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1964765097","https://openalex.org/W1966465775","https://openalex.org/W1970319144","https://openalex.org/W1977386026","https://openalex.org/W1982441409","https://openalex.org/W1985729380","https://openalex.org/W2008518610","https://openalex.org/W2012257486","https://openalex.org/W2014180740","https://openalex.org/W2019275540","https://openalex.org/W2025708941","https://openalex.org/W2029919765","https://openalex.org/W2030248051","https://openalex.org/W2030281789","https://openalex.org/W2036947671","https://openalex.org/W2039836104","https://openalex.org/W2051493010","https://openalex.org/W2055899744","https://openalex.org/W2057318207","https://openalex.org/W2063492964","https://openalex.org/W2067451583","https://openalex.org/W2076155187","https://openalex.org/W2078492899","https://openalex.org/W2079314634","https://openalex.org/W2082855665","https://openalex.org/W2090203888","https://openalex.org/W2093752100","https://openalex.org/W2101542751","https://openalex.org/W2103351651","https://openalex.org/W2104972512","https://openalex.org/W2107714187","https://openalex.org/W2111966418","https://openalex.org/W2113562731","https://openalex.org/W2124829216","https://openalex.org/W2141034038","https://openalex.org/W2154272767","https://openalex.org/W2160547390","https://openalex.org/W2161293672","https://openalex.org/W2231994028","https://openalex.org/W2288347480","https://openalex.org/W2295636777","https://openalex.org/W2303512166","https://openalex.org/W2314531542","https://openalex.org/W2314783213","https://openalex.org/W2345441053","https://openalex.org/W2406655805","https://openalex.org/W2511195772","https://openalex.org/W2537596999","https://openalex.org/W2547340162","https://openalex.org/W2547714627","https://openalex.org/W2564188435","https://openalex.org/W2568273793","https://openalex.org/W2569621525","https://openalex.org/W2577604848","https://openalex.org/W2589897153","https://openalex.org/W2591620788","https://openalex.org/W2594731094","https://openalex.org/W2605231668","https://openalex.org/W2620600652","https://openalex.org/W2734375295","https://openalex.org/W6698356011","https://openalex.org/W6729332550"],"related_works":["https://openalex.org/W2011611369","https://openalex.org/W4297791310","https://openalex.org/W4245251483","https://openalex.org/W2116148865","https://openalex.org/W4372266926","https://openalex.org/W2366556501","https://openalex.org/W2965458591","https://openalex.org/W4254934694","https://openalex.org/W2322815342","https://openalex.org/W1520740474"],"abstract_inverted_index":{"A":[0],"methodology":[1],"for":[2,224],"automatic":[3],"incipient":[4],"broken":[5,134,178],"rotor":[6],"bar":[7],"detection":[8,124,137,218],"in":[9,213],"induction":[10],"motors":[11],"(IMs)":[12],"is":[13,30,75,110,138,192,202,207,220],"presented.":[14],"Sparse":[15],"representations":[16],"of":[17,27,65,72,78,84,99,125,143,153,168],"signals":[18,40,46,55,85,100,145,181],"are":[19,47,182,211],"applied":[20],"as":[21,226,228],"a":[22,57,118],"diagnosis":[23,206],"technique.":[24],"The":[25,69,108,136],"novelty":[26],"this":[28,73,92],"technique":[29],"that":[31,60],"it":[32],"can":[33],"analyze":[34],"the":[35,43,63,76,97,102,123,141,185,189,195,199,205,217],"frequency":[36],"spectra":[37],"from":[38,82,129,146],"vibration":[39,144],"even":[41],"when":[42],"differences":[44],"among":[45],"small.":[48],"This":[49],"representation":[50],"allows":[51],"decomposing":[52],"or":[53,171],"reconstructing":[54],"through":[56],"trained":[58,81,94],"dictionary":[59],"has":[61],"learned":[62],"features":[64],"one":[66,133,177],"specific":[67],"group/class.":[68],"main":[70],"feature":[71],"paper":[74],"use":[77],"over-complete":[79],"dictionaries":[80,95],"sets":[83],"with":[86],"faults":[87],"to":[88,132],"be":[89],"detected.":[90],"In":[91],"way,":[93],"perform":[96],"decomposition":[98,109,142],"using":[101],"orthogonal":[103],"matching":[104],"pursuit":[105],"(OMP)":[106],"algorithm.":[107,197],"evaluated":[111,193,203],"and":[112,117,151,162,165,176,188,204,216],"classified":[113],"by":[114,140,184,194],"error-based":[115],"criteria":[116],"majority":[119],"decision":[120],"classifier,":[121],"allowing":[122],"early":[126],"damage,":[127],"ranging":[128],"1":[130,229],"mm":[131],"bar.":[135],"performed":[139],"three":[147,156],"axes":[148],"(x,":[149],"y,":[150],"z)":[152],"IMs":[154],"under":[155],"load":[157],"conditions":[158],"(unloaded,":[159],"half":[160],"loaded,":[161],"three-fourths":[163],"loaded)":[164],"different":[166],"levels":[167],"damage":[169],"(healthy":[170],"0":[172],"mm,":[173,175],"1-9":[174],"bar).":[179],"These":[180],"processed":[183],"Fourier":[186],"transform":[187],"spectrum":[190],"obtained":[191],"OMP":[196],"Finally,":[198],"retrieved":[200],"information":[201],"given.":[208],"All":[209],"algorithms":[210],"developed":[212],"MATLAB":[214],"software":[215],"accuracy":[219],"higher":[221],"than":[222],"90%":[223],"damages":[225],"small":[227],"mm.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}