{"id":"https://openalex.org/W4313327697","doi":"https://doi.org/10.3390/sym15010086","title":"Machine Learning Techniques for Multi-Fault Analysis and Detection on a Rotating Test Rig Using Vibration Signal","display_name":"Machine Learning Techniques for Multi-Fault Analysis and Detection on a Rotating Test Rig Using Vibration Signal","publication_year":2022,"publication_date":"2022-12-28","ids":{"openalex":"https://openalex.org/W4313327697","doi":"https://doi.org/10.3390/sym15010086"},"language":"en","primary_location":{"id":"doi:10.3390/sym15010086","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15010086","pdf_url":"https://www.mdpi.com/2073-8994/15/1/86/pdf?version=1672403423","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/15/1/86/pdf?version=1672403423","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010069108","display_name":"Iulian Lupea","orcid":"https://orcid.org/0000-0003-4024-0159"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Iulian Lupea","raw_affiliation_strings":["Faculty of Industrial Engineering, Robotics and Production Management, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Industrial Engineering, Robotics and Production Management, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074256643","display_name":"Mihaiela Lupea","orcid":"https://orcid.org/0000-0002-2117-2018"},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mihaiela Lupea","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Babes-Bolyai University, 400084 Cluj-Napoca, Romania"],"raw_orcid":"https://orcid.org/0000-0002-2117-2018","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Babes-Bolyai University, 400084 Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010069108"],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.8193,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.84902404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":"1","first_page":"86","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9927999973297119,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.986299991607666,"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":0.614790678024292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5585619211196899},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.5444123148918152},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5424033999443054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5281146764755249},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44030943512916565},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43872320652008057},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4100077152252197},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2973884344100952},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.22752094268798828},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10915637016296387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.614790678024292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5585619211196899},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.5444123148918152},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5424033999443054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5281146764755249},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44030943512916565},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43872320652008057},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4100077152252197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2973884344100952},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.22752094268798828},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10915637016296387},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym15010086","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15010086","pdf_url":"https://www.mdpi.com/2073-8994/15/1/86/pdf?version=1672403423","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ecfbd8895ab44027aec3f4dd10194f5e","is_oa":false,"landing_page_url":"https://doaj.org/article/ecfbd8895ab44027aec3f4dd10194f5e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 15, Iss 1, p 86 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/15/1/86/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym15010086","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym15010086","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15010086","pdf_url":"https://www.mdpi.com/2073-8994/15/1/86/pdf?version=1672403423","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313327697.pdf","grobid_xml":"https://content.openalex.org/works/W4313327697.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W190437827","https://openalex.org/W2005943275","https://openalex.org/W2025522052","https://openalex.org/W2045186954","https://openalex.org/W2106578604","https://openalex.org/W2187089797","https://openalex.org/W2475392251","https://openalex.org/W2506064595","https://openalex.org/W2759531725","https://openalex.org/W2791694051","https://openalex.org/W2810292802","https://openalex.org/W2919341207","https://openalex.org/W2964278775","https://openalex.org/W2990428028","https://openalex.org/W3046104468","https://openalex.org/W3111065999","https://openalex.org/W3201503618","https://openalex.org/W4235594362","https://openalex.org/W4241072669","https://openalex.org/W4244748642","https://openalex.org/W6607693206","https://openalex.org/W6651898504","https://openalex.org/W6781196749"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W2009888974","https://openalex.org/W2355539379","https://openalex.org/W2056341223","https://openalex.org/W3023105672","https://openalex.org/W4231410700","https://openalex.org/W1484577456"],"abstract_inverted_index":{"Machine":[0],"health":[1,124],"monitoring":[2],"of":[3,68,142,181,198],"rotating":[4,27],"mechanical":[5],"systems":[6],"is":[7,30,51,111],"an":[8],"important":[9],"task":[10,110],"in":[11,106],"manufacturing":[12],"engineering.":[13],"In":[14],"this":[15],"paper,":[16],"a":[17,26,36,40,60,114,155],"system":[18],"for":[19,178,195],"analyzing":[20],"and":[21,78,93,128,135,166,188,192],"detecting":[22],"mounting":[23,88],"defects":[24,79],"on":[25,80],"test":[28,33],"rig":[29,34],"developed.":[31],"The":[32,49,158],"comprises":[35],"slender":[37],"shaft":[38,50],"with":[39],"central":[41,70],"disc,":[42],"supported":[43],"symmetrically":[44],"by":[45],"oscillating":[46],"ball":[47],"bearings.":[48],"driven":[52],"at":[53],"constant":[54],"speed":[55],"(with":[56],"tiny":[57],"variations)":[58],"through":[59],"timing":[61,86],"belt.":[62],"Faults,":[63],"such":[64],"as":[65,104,113],"the":[66,69,73,75,81,99,119,152,173,179,196,199],"translation":[67],"disc":[71,76],"along":[72],"shaft,":[74],"eccentricity,":[77],"motor":[82],"reducer":[83],"position":[84],"or":[85],"belt":[87],"position,":[89],"are":[90,102,160],"imposed.":[91],"Time":[92],"frequency":[94],"domain":[95],"features,":[96,143,146],"extracted":[97,185],"from":[98,164,186],"vibration":[100],"signal,":[101],"used":[103],"predictors":[105],"fault":[107],"detection.":[108],"This":[109],"modeled":[112],"multi-class":[115],"classification":[116,147],"problem,":[117],"where":[118],"classes":[120],"correspond":[121],"to":[122],"eight":[123],"states:":[125],"one":[126],"healthy":[127],"seven":[129],"faulty.":[130],"Data":[131],"analysis,":[132],"using":[133,162],"unsupervised":[134],"supervised":[136],"algorithms,":[137],"provides":[138],"significant":[139],"insights":[140],"(relevance":[141],"correlation":[144],"between":[145],"difficulties,":[148],"data":[149],"visualization)":[150],"into":[151],"initial":[153],"dataset,":[154],"balanced":[156],"one.":[157],"experiments":[159],"performed":[161],"classifiers":[163],"MATLAB":[165],"six":[167],"feature":[168],"sets.":[169],"Quadratic":[170],"SVM":[171],"achieves":[172],"best":[174],"performance:":[175],"99.18%":[176],"accuracy":[177,194],"set":[180],"all":[182],"41":[183],"features":[184],"X":[187],"Y":[189],"accelerometer":[190],"axes,":[191],"98.93%":[193],"subset":[197],"18":[200],"most":[201],"relevant":[202],"features.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
