{"id":"https://openalex.org/W3096262909","doi":"https://doi.org/10.1145/3421766.3421870","title":"Bearing Health Assessment Based on Different Types of Masses Voting Match and Mahalanobis Distance under Different Operating Conditions","display_name":"Bearing Health Assessment Based on Different Types of Masses Voting Match and Mahalanobis Distance under Different Operating Conditions","publication_year":2020,"publication_date":"2020-10-15","ids":{"openalex":"https://openalex.org/W3096262909","doi":"https://doi.org/10.1145/3421766.3421870","mag":"3096262909"},"language":"en","primary_location":{"id":"doi:10.1145/3421766.3421870","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3421766.3421870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","raw_type":"proceedings-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/A5100428926","display_name":"Yihan Wang","orcid":"https://orcid.org/0000-0001-8671-508X"},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yihan Wang","raw_affiliation_strings":["CEPREI, Guangzhou 510610, China, Key laboratory of Industrial Equipment Quality Big Data, MIIT, Guangzhou, China, Xi'an CEPREI Industrial Technology Research Institute Co. Ltd., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"CEPREI, Guangzhou 510610, China, Key laboratory of Industrial Equipment Quality Big Data, MIIT, Guangzhou, China, Xi'an CEPREI Industrial Technology Research Institute Co. Ltd., Xi'an, China","institution_ids":["https://openalex.org/I890469752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027882382","display_name":"Guojian Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojian Nie","raw_affiliation_strings":["CEPREI, Guangzhou, China, Key laboratory of Industrial Equipment Quality Big Data, MIIT, Guangzhou, China, Xi'an CEPREI Industrial Technology Research Institute Co. Ltd., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"CEPREI, Guangzhou, China, Key laboratory of Industrial Equipment Quality Big Data, MIIT, Guangzhou, China, Xi'an CEPREI Industrial Technology Research Institute Co. Ltd., Xi'an, China","institution_ids":["https://openalex.org/I890469752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000575591","display_name":"Ning Hu","orcid":"https://orcid.org/0000-0002-0726-1401"},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Hu","raw_affiliation_strings":["CEPREI, Guangzhou, China, Key laboratory of Industrial Equipment Quality Big Data, MIIT, Guangzhou, China, Xi'an CEPREI Industrial Technology Research Institute Co. Ltd., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"CEPREI, Guangzhou, China, Key laboratory of Industrial Equipment Quality Big Data, MIIT, Guangzhou, China, Xi'an CEPREI Industrial Technology Research Institute Co. Ltd., Xi'an, China","institution_ids":["https://openalex.org/I890469752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079489546","display_name":"Bingquan Chen","orcid":"https://orcid.org/0000-0001-9461-0018"},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingquan Chen","raw_affiliation_strings":["CEPREI, Guangzhou, China, Key laboratory of Industrial Equipment Quality Big Data, MIIT, Guangzhou, China, Xi'an CEPREI Industrial Technology Research Institute Co. Ltd., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"CEPREI, Guangzhou, China, Key laboratory of Industrial Equipment Quality Big Data, MIIT, Guangzhou, China, Xi'an CEPREI Industrial Technology Research Institute Co. Ltd., Xi'an, China","institution_ids":["https://openalex.org/I890469752"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100428926"],"corresponding_institution_ids":["https://openalex.org/I890469752"],"apc_list":null,"apc_paid":null,"fwci":0.2942,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56612556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"340","last_page":"343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9901999831199646,"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":0.9901999831199646,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9638000130653381,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.9503881931304932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6801999807357788},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6509068608283997},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5751075744628906},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5662391781806946},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4933454096317291},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.4403949975967407},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43433359265327454},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4139518141746521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37937143445014954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37678614258766174},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3505718410015106},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2028171718120575},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1965329945087433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1783299744129181}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.9503881931304932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6801999807357788},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6509068608283997},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5751075744628906},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5662391781806946},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4933454096317291},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.4403949975967407},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43433359265327454},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4139518141746521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37937143445014954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37678614258766174},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3505718410015106},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2028171718120575},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1965329945087433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1783299744129181},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3421766.3421870","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3421766.3421870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1972937036","https://openalex.org/W1987834744","https://openalex.org/W2008113047","https://openalex.org/W2023153065","https://openalex.org/W2025823698","https://openalex.org/W2119821739","https://openalex.org/W2153635508","https://openalex.org/W2911964244","https://openalex.org/W4212883601"],"related_works":["https://openalex.org/W4382795578","https://openalex.org/W2355463328","https://openalex.org/W2402648945","https://openalex.org/W1431147547","https://openalex.org/W2055761197","https://openalex.org/W2053213469","https://openalex.org/W2057608111","https://openalex.org/W2793032185","https://openalex.org/W939486154","https://openalex.org/W2262622710"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,59,89,116],"solve":[3],"the":[4,16,47,61,91,94,106],"problem":[5],"about":[6],"low":[7],"precision":[8],"of":[9,18,33,49,52,93],"bearing":[10],"health":[11,26,62,92,102,107],"assessment":[12,27,63,103,108],"model":[13,19,64],"caused":[14],"by":[15],"error":[17],"selection":[20],"under":[21,65],"varying":[22],"operating":[23,67],"conditions,":[24],"a":[25],"method":[28,48,70,109],"based":[29],"on":[30],"different":[31,50,66,81],"types":[32,51],"masses":[34,53],"voting":[35,54],"match":[36,55],"and":[37,80,121],"Mahalanobis":[38,85],"distance":[39,86],"is":[40,56,87],"first":[41,57],"proposed":[42,110],"in":[43,111],"this":[44,112],"paper.":[45],"Firstly,":[46],"used":[58],"determine":[60],"conditions.":[68],"This":[69],"combines":[71],"three":[72],"algorithms":[73],"with":[74],"simple":[75],"structure,":[76],"good":[77],"generalization":[78],"performance":[79],"matching":[82],"principles.":[83],"Then":[84],"applied":[88],"measure":[90],"bearing.":[95],"The":[96],"experimental":[97],"results":[98],"demonstrate":[99],"its":[100],"ideal":[101],"performance.":[104],"Simultaneously,":[105],"paper":[113],"helps":[114],"managers":[115],"take":[117],"timely":[118],"maintenance":[119],"measures":[120],"prevent":[122],"equipment":[123],"failure":[124],"as":[125,127],"early":[126],"possible.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}