{"id":"https://openalex.org/W4391616365","doi":"https://doi.org/10.3390/make6010016","title":"SHapley Additive exPlanations (SHAP) for Efficient Feature Selection in Rolling Bearing Fault Diagnosis","display_name":"SHapley Additive exPlanations (SHAP) for Efficient Feature Selection in Rolling Bearing Fault Diagnosis","publication_year":2024,"publication_date":"2024-02-05","ids":{"openalex":"https://openalex.org/W4391616365","doi":"https://doi.org/10.3390/make6010016"},"language":"en","primary_location":{"id":"doi:10.3390/make6010016","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make6010016","pdf_url":"https://www.mdpi.com/2504-4990/6/1/16/pdf?version=1707102131","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"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":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-4990/6/1/16/pdf?version=1707102131","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080078401","display_name":"Mailson Ribeiro Santos","orcid":"https://orcid.org/0000-0001-9592-131X"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Mailson Ribeiro Santos","raw_affiliation_strings":["Postgraduate Program in Electrical and Computer Engineering, Technology Center, Federal University of Rio Grande do Norte, Natal 59078-970, Rio Grande do Norte, Brazil"],"affiliations":[{"raw_affiliation_string":"Postgraduate Program in Electrical and Computer Engineering, Technology Center, Federal University of Rio Grande do Norte, Natal 59078-970, Rio Grande do Norte, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021236304","display_name":"Luiz Affonso Guedes","orcid":"https://orcid.org/0000-0003-2690-1563"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Affonso Guedes","raw_affiliation_strings":["Department of Computer Engineering and Automation, Federal University of Rio Grande Do Norte, Natal 59078-970, Rio Grande do Norte, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Automation, Federal University of Rio Grande Do Norte, Natal 59078-970, Rio Grande do Norte, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048403557","display_name":"Ignacio S\u00e1nchez-Gendriz","orcid":"https://orcid.org/0000-0002-3885-9510"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]},{"id":"https://openalex.org/I4210094979","display_name":"Hospital Universit\u00e1rio Onofre Lopes","ror":"https://ror.org/00mmnz357","country_code":"BR","type":"healthcare","lineage":["https://openalex.org/I4210094979"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ignacio Sanchez-Gendriz","raw_affiliation_strings":["Laboratory for Technological Innovation in Health (LAIS), Hospital Universit\u00e1rio Onofre Lopes, Federal University of Rio Grande Do Norte (UFRN), Natal 59078-970, Rio Grande do Norte, Brazil"],"affiliations":[{"raw_affiliation_string":"Laboratory for Technological Innovation in Health (LAIS), Hospital Universit\u00e1rio Onofre Lopes, Federal University of Rio Grande Do Norte (UFRN), Natal 59078-970, Rio Grande do Norte, Brazil","institution_ids":["https://openalex.org/I35046152","https://openalex.org/I4210094979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080078401"],"corresponding_institution_ids":["https://openalex.org/I35046152"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":21.413,"has_fulltext":true,"cited_by_count":67,"citation_normalized_percentile":{"value":0.99756691,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"6","issue":"1","first_page":"316","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9861000180244446,"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"}},{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9858999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.7421005964279175},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7355917692184448},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6416743397712708},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5890364050865173},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5395703911781311},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46732014417648315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4470694065093994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3869437575340271},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.3103017807006836},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2884802222251892},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.05295094847679138}],"concepts":[{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.7421005964279175},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7355917692184448},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6416743397712708},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5890364050865173},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5395703911781311},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46732014417648315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4470694065093994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3869437575340271},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.3103017807006836},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2884802222251892},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.05295094847679138},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/make6010016","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make6010016","pdf_url":"https://www.mdpi.com/2504-4990/6/1/16/pdf?version=1707102131","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"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":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:52e9ad7e34dd4043abb62c9dd556a4af","is_oa":true,"landing_page_url":"https://doaj.org/article/52e9ad7e34dd4043abb62c9dd556a4af","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction, Vol 6, Iss 1, Pp 316-341 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/make6010016","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make6010016","pdf_url":"https://www.mdpi.com/2504-4990/6/1/16/pdf?version=1707102131","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"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":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391616365.pdf"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W1487321909","https://openalex.org/W1964511482","https://openalex.org/W1967352108","https://openalex.org/W1993880634","https://openalex.org/W2002068610","https://openalex.org/W2003205626","https://openalex.org/W2012120314","https://openalex.org/W2035988854","https://openalex.org/W2050252315","https://openalex.org/W2052570332","https://openalex.org/W2057121907","https://openalex.org/W2072378835","https://openalex.org/W2087016914","https://openalex.org/W2101234009","https://openalex.org/W2135663228","https://openalex.org/W2146559931","https://openalex.org/W2154298522","https://openalex.org/W2164207156","https://openalex.org/W2464430814","https://openalex.org/W2523081602","https://openalex.org/W2542700981","https://openalex.org/W2565226568","https://openalex.org/W2571379350","https://openalex.org/W2609399607","https://openalex.org/W2692693673","https://openalex.org/W2740956509","https://openalex.org/W2771499866","https://openalex.org/W2772511931","https://openalex.org/W2791694051","https://openalex.org/W2793062918","https://openalex.org/W2799599955","https://openalex.org/W2891503716","https://openalex.org/W2917329506","https://openalex.org/W2943467239","https://openalex.org/W2973049920","https://openalex.org/W2974245077","https://openalex.org/W2974349619","https://openalex.org/W2998506103","https://openalex.org/W2999615587","https://openalex.org/W3022604663","https://openalex.org/W3026117520","https://openalex.org/W3030186386","https://openalex.org/W3042078365","https://openalex.org/W3080249277","https://openalex.org/W3083789190","https://openalex.org/W3131057326","https://openalex.org/W3164030465","https://openalex.org/W3171632160","https://openalex.org/W3205066392","https://openalex.org/W3212509273","https://openalex.org/W4200010906","https://openalex.org/W4220949726","https://openalex.org/W4226065182","https://openalex.org/W4280576978","https://openalex.org/W4281572064","https://openalex.org/W4310347562","https://openalex.org/W4315701371","https://openalex.org/W4319441665","https://openalex.org/W4323520282","https://openalex.org/W4366262984","https://openalex.org/W4382721333","https://openalex.org/W4383567618","https://openalex.org/W4385766743","https://openalex.org/W4386282763","https://openalex.org/W6675354045","https://openalex.org/W6731875530","https://openalex.org/W6782593693"],"related_works":["https://openalex.org/W2035937180","https://openalex.org/W3196220745","https://openalex.org/W2061308401","https://openalex.org/W2575656761","https://openalex.org/W2065631063","https://openalex.org/W2378667342","https://openalex.org/W4386564352","https://openalex.org/W2594567802","https://openalex.org/W2952668426","https://openalex.org/W2363739414"],"abstract_inverted_index":{"This":[0],"study":[1],"introduces":[2],"an":[3,74,151],"efficient":[4],"methodology":[5,19],"for":[6,33,87,97],"addressing":[7],"fault":[8,37,48,101],"detection,":[9,38,102],"classification,":[10,39,103],"and":[11,40,72,104,133],"severity":[12,41,105],"estimation":[13,106],"in":[14,52,57,62,156],"rolling":[15],"element":[16],"bearings.":[17],"The":[18,93,127],"is":[20,55,80,107,125],"structured":[21],"into":[22],"three":[23],"sequential":[24],"phases,":[25],"each":[26],"dedicated":[27],"to":[28,82],"generating":[29],"distinct":[30],"machine-learning-based":[31],"models":[32,67],"the":[34,45,58,63,88,98,108,115,117,131,136,157],"tasks":[35,99],"of":[36,47,65,100,135,145,153,159],"estimation.":[42],"To":[43,113],"enhance":[44],"effectiveness":[46],"diagnosis,":[49],"information":[50],"acquired":[51],"one":[53],"phase":[54],"leveraged":[56],"subsequent":[59],"phase.":[60],"Additionally,":[61],"pursuit":[64],"attaining":[66],"that":[68],"are":[69],"both":[70],"compact":[71],"efficient,":[73],"explainable":[75],"artificial":[76],"intelligence":[77],"(XAI)":[78],"technique":[79,96],"incorporated":[81],"meticulously":[83],"select":[84],"optimal":[85],"features":[86],"machine":[89,111],"learning":[90],"(ML)":[91],"models.":[92],"chosen":[94],"ML":[95],"support":[109],"vector":[110],"(SVM).":[112],"validate":[114],"approach,":[116],"widely":[118],"recognized":[119],"Case":[120],"Western":[121],"Reserve":[122],"University":[123],"benchmark":[124],"utilized.":[126],"results":[128],"obtained":[129],"emphasize":[130],"efficiency":[132],"efficacy":[134],"proposal.":[137],"Remarkably,":[138],"even":[139],"with":[140],"a":[141],"highly":[142],"limited":[143],"number":[144],"features,":[146],"evaluation":[147],"metrics":[148],"consistently":[149],"indicate":[150],"accuracy":[152],"over":[154],"90%":[155],"majority":[158],"cases":[160],"when":[161],"employing":[162],"this":[163],"approach.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":43},{"year":2024,"cited_by_count":8}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}