{"id":"https://openalex.org/W2621019941","doi":"https://doi.org/10.1177/0142331217708242","title":"Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery","display_name":"Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2621019941","doi":"https://doi.org/10.1177/0142331217708242","mag":"2621019941"},"language":"en","primary_location":{"id":"doi:10.1177/0142331217708242","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0142331217708242","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","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/A5007290301","display_name":"Te Han","orcid":"https://orcid.org/0000-0002-6559-1986"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Te Han","raw_affiliation_strings":["State Key Lab of Control and Simulation of Power System and Generation Equipment, Department of Thermal Engineering, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of Control and Simulation of Power System and Generation Equipment, Department of Thermal Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082173488","display_name":"Dongxiang Jiang","orcid":"https://orcid.org/0000-0002-1154-2804"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiang Jiang","raw_affiliation_strings":["State Key Lab of Control and Simulation of Power System and Generation Equipment, Department of Thermal Engineering, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of Control and Simulation of Power System and Generation Equipment, Department of Thermal Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052565646","display_name":"Qi Zhao","orcid":"https://orcid.org/0000-0001-9713-1864"},"institutions":[{"id":"https://openalex.org/I1311643757","display_name":"Commercial Aircraft Corporation of China (China)","ror":"https://ror.org/05gxmms51","country_code":"CN","type":"company","lineage":["https://openalex.org/I1311643757"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhao","raw_affiliation_strings":["AECC Commercial Aircraft Engine Co., Ltd, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AECC Commercial Aircraft Engine Co., Ltd, Shanghai, China","institution_ids":["https://openalex.org/I1311643757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133191474","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0001-8751-4909"},"institutions":[{"id":"https://openalex.org/I1311643757","display_name":"Commercial Aircraft Corporation of China (China)","ror":"https://ror.org/05gxmms51","country_code":"CN","type":"company","lineage":["https://openalex.org/I1311643757"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["AECC Commercial Aircraft Engine Co., Ltd, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AECC Commercial Aircraft Engine Co., Ltd, Shanghai, China","institution_ids":["https://openalex.org/I1311643757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100625572","display_name":"Kai Yin","orcid":"https://orcid.org/0000-0002-9248-6858"},"institutions":[{"id":"https://openalex.org/I1311643757","display_name":"Commercial Aircraft Corporation of China (China)","ror":"https://ror.org/05gxmms51","country_code":"CN","type":"company","lineage":["https://openalex.org/I1311643757"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yin","raw_affiliation_strings":["AECC Commercial Aircraft Engine Co., Ltd, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AECC Commercial Aircraft Engine Co., Ltd, Shanghai, China","institution_ids":["https://openalex.org/I1311643757"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007290301"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":12.2152,"has_fulltext":false,"cited_by_count":367,"citation_normalized_percentile":{"value":0.99045613,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"40","issue":"8","first_page":"2681","last_page":"2693"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9958000183105469,"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/T12676","display_name":"Machine Learning and ELM","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.9160287380218506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7390646934509277},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7282308340072632},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6913398504257202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6724584102630615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.620109498500824},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6012104153633118},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.46357136964797974},{"id":"https://openalex.org/keywords/multivariate-random-variable","display_name":"Multivariate random variable","score":0.4184761941432953},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4180125594139099},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39251193404197693},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.16011181473731995},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09860849380493164}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.9160287380218506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7390646934509277},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7282308340072632},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6913398504257202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6724584102630615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.620109498500824},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6012104153633118},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.46357136964797974},{"id":"https://openalex.org/C138405894","wikidata":"https://www.wikidata.org/wiki/Q3179949","display_name":"Multivariate random variable","level":3,"score":0.4184761941432953},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4180125594139099},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39251193404197693},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.16011181473731995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09860849380493164},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0142331217708242","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0142331217708242","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G6777975377","display_name":"\u822a\u7a7a\u53d1\u52a8\u673a\u53cc\u8f6c\u5b50\u7cfb\u7edf\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u5206\u6790\u4e0e\u6545\u969c\u4f20\u9012\u7279\u6027\u7814\u7a76","funder_award_id":"11572167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":36,"referenced_works":["https://openalex.org/W291917176","https://openalex.org/W1471436312","https://openalex.org/W1534477342","https://openalex.org/W1562491124","https://openalex.org/W1895403009","https://openalex.org/W1964707573","https://openalex.org/W1980438367","https://openalex.org/W1988195734","https://openalex.org/W1988790447","https://openalex.org/W1991078647","https://openalex.org/W1991941961","https://openalex.org/W2000982976","https://openalex.org/W2022947185","https://openalex.org/W2027872902","https://openalex.org/W2033551122","https://openalex.org/W2043891203","https://openalex.org/W2053315995","https://openalex.org/W2113242816","https://openalex.org/W2133140849","https://openalex.org/W2134502076","https://openalex.org/W2153635508","https://openalex.org/W2164921999","https://openalex.org/W2193045105","https://openalex.org/W2210296063","https://openalex.org/W2403687144","https://openalex.org/W2423553850","https://openalex.org/W2463522914","https://openalex.org/W2480364715","https://openalex.org/W2532140063","https://openalex.org/W2567356819","https://openalex.org/W2580905339","https://openalex.org/W2598427477","https://openalex.org/W2603332031","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W4212883601"],"related_works":["https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W2962867142","https://openalex.org/W2798794885","https://openalex.org/W2088779119","https://openalex.org/W2132031074","https://openalex.org/W2040176568"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,11,45,50,68,74,91,114,125,159,184],"data-driven":[2],"diagnosis":[3,76,186],"method,":[4],"exploiting":[5],"pattern":[6,180],"recognition":[7,131,181],"method":[8,182],"to":[9,112,123,136],"diagnose":[10],"fault":[12],"patterns":[13],"automatically,":[14],"achieves":[15],"much":[16],"success":[17],"for":[18,73,90,168,183],"rotating":[19,78,188],"machinery.":[20,189],"Some":[21],"popular":[22],"classification":[23],"algorithms":[24],"such":[25],"as":[26],"artificial":[27],"neural":[28,104],"networks":[29],"and":[30,38,106,134],"support":[31,107],"vector":[32,108],"machine":[33],"have":[34],"been":[35,121],"extensively":[36],"studied":[37],"tested":[39],"with":[40,82,139,146],"many":[41],"application":[42],"cases,":[43],"while":[44],"random":[46,71,98,149,163,175],"forest,":[47,99],"one":[48],"of":[49,70,77,93,130,187],"present":[51],"state-of-the-art":[52],"classifiers":[53,127],"based":[54],"on":[55,85],"ensemble":[56],"learning":[57,101],"strategy,":[58],"is":[59,80,110,151,177],"relatively":[60],"unknown":[61],"in":[62,128,162],"this":[63,66],"field.":[64],"In":[65],"paper,":[67],"behavior":[69],"forest":[72,119,150,164,176],"intelligent":[75,185],"machinery":[79],"investigated":[81],"various":[83],"features":[84],"two":[86],"datasets.":[87],"A":[88],"framework":[89],"comparison":[92],"different":[94],"methods,":[95,148],"that":[96,174],"is,":[97],"extreme":[100],"machine,":[102,109],"probabilistic":[103],"network":[105],"presented":[111],"find":[113],"most":[115],"efficient":[116],"one.":[117],"Random":[118],"has":[120],"proven":[122],"outperform":[124],"comparative":[126],"terms":[129],"accuracy,":[132],"stability":[133],"robustness":[135],"features,":[137],"especially":[138],"a":[140,178],"small":[141],"training":[142],"set.":[143],"Additionally,":[144],"compared":[145],"traditional":[147],"not":[152],"easily":[153],"influenced":[154],"by":[155],"environmental":[156],"noise.":[157],"Furthermore,":[158],"user-friendly":[160],"parameters":[161],"offer":[165],"great":[166],"convenience":[167],"practical":[169],"engineering.":[170],"These":[171],"results":[172],"suggest":[173],"promising":[179]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":47},{"year":2024,"cited_by_count":55},{"year":2023,"cited_by_count":62},{"year":2022,"cited_by_count":44},{"year":2021,"cited_by_count":63},{"year":2020,"cited_by_count":40},{"year":2019,"cited_by_count":30},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
