{"id":"https://openalex.org/W2108433762","doi":"https://doi.org/10.1109/fuzzy.2009.5277325","title":"Research of fault-characteristic extractive technology based on particle swarm optimization","display_name":"Research of fault-characteristic extractive technology based on particle swarm optimization","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2108433762","doi":"https://doi.org/10.1109/fuzzy.2009.5277325","mag":"2108433762"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2009.5277325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","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/A5026062458","display_name":"Pan Hong-xia","orcid":null},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pan Hongxia","raw_affiliation_strings":["School of Mechanical Engineering and Automation, North University of China, Taiyuan, Shanxi, China","School of Mechanical Engineering and Automation, North University of China, Taiyuan, CO 030051 China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, North University of China, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"School of Mechanical Engineering and Automation, North University of China, Taiyuan, CO 030051 China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Huang Jinying","orcid":null},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huang Jinying","raw_affiliation_strings":["School of Mechanical Engineering and Automation, North University of China, Taiyuan, Shanxi, China","School of Mechanical Engineering and Automation, North University of China, Taiyuan, CO 030051 China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, North University of China, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"School of Mechanical Engineering and Automation, North University of China, Taiyuan, CO 030051 China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044299299","display_name":"Mao Hongwei","orcid":null},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Hongwei","raw_affiliation_strings":["School of Mechanical Engineering and Automation, North University of China, Taiyuan, Shanxi, China","School of Mechanical Engineering and Automation, North University of China, Taiyuan, CO 030051 China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, North University of China, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"School of Mechanical Engineering and Automation, North University of China, Taiyuan, CO 030051 China","institution_ids":["https://openalex.org/I135714990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026062458"],"corresponding_institution_ids":["https://openalex.org/I135714990"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10065669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"1941","last_page":"1946"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9939000010490417,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9939000010490417,"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/T14474","display_name":"Industrial Technology and Control Systems","score":0.9855999946594238,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9842000007629395,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.8148288726806641},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.736433744430542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5529685616493225},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5385789275169373},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4754078984260559},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47526735067367554},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4553104639053345},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.41632336378097534},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4157010316848755},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2441747784614563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13976001739501953},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.071086585521698}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8148288726806641},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.736433744430542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5529685616493225},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5385789275169373},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4754078984260559},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47526735067367554},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4553104639053345},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.41632336378097534},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4157010316848755},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2441747784614563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13976001739501953},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.071086585521698},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2009.5277325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","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":6,"referenced_works":["https://openalex.org/W1971426977","https://openalex.org/W2145113795","https://openalex.org/W2165299997","https://openalex.org/W2293747114","https://openalex.org/W2362212974","https://openalex.org/W2380451313"],"related_works":["https://openalex.org/W3019402777","https://openalex.org/W4386596916","https://openalex.org/W2378757965","https://openalex.org/W4224903346","https://openalex.org/W2031835531","https://openalex.org/W2388590088","https://openalex.org/W1969166468","https://openalex.org/W1593262897","https://openalex.org/W2372869593","https://openalex.org/W2122371747"],"abstract_inverted_index":{"In":[0,89],"the":[1,7,26,38,44,57,69,73,77,92,105,113,121,130,136,142,152,159,176,185,193],"work":[2],"process":[3,120],"of":[4,25,107,125,158],"gearbox,":[5,126],"because":[6],"responding":[8,123],"signal":[9,124],"is":[10,14,34,51,102,115,145,149,196,204],"very":[11,35],"complex,":[12],"it":[13,148,203],"difficult":[15],"to":[16,55,67,81,117,141,151,209],"extract":[17,127],"its":[18],"sensitive":[19,74],"fault":[20,27,29,32,61,87,131,144,153,211],"attributive":[21],"information.":[22],"The":[23,180],"sensitivity":[24],"degree,":[28],"position":[30],"and":[31,48,59,65,85,119,128,147,171,201],"type":[33],"different,":[36],"so":[37],"characteristic":[39,46,62,93,110,132],"parameter":[40,63,70,133,137],"set":[41,64,71,138],"constructed":[42,146],"by":[43,72],"traditional":[45,177],"extraction":[47],"analysis":[49],"method":[50,95,190],"voluminous.":[52],"Therefore,":[53],"how":[54,66],"define":[56],"reliable":[58],"effective":[60,198],"optimize":[68,129],"degree":[75],"are":[76],"await":[78],"solved":[79],"problems":[80],"realize":[82],"real":[83],"time":[84],"online":[86],"diagnosis.":[88,154],"this":[90],"paper,":[91],"extractive":[94],"base":[96],"on":[97,192],"particle":[98],"swarm":[99],"optimization":[100],"(PSO)":[101],"presented":[103],"for":[104],"problem":[106],"gearbox":[108],"failure":[109],"selection.":[111],"Then":[112],"technology":[114],"applied":[116],"analyze":[118],"vibration":[122],"set.":[134],"Finally":[135],"nearly":[139],"related":[140],"gearbox's":[143],"used":[150],"It":[155],"proves":[156],"validity":[157],"diagnosis":[160,169,212],"result":[161,182],"that":[162,184],"PSO":[163,194],"algorithm":[164,195],"has":[165],"good":[166],"effectiveness,":[167],"higher":[168],"precision":[170],"fast":[172],"optimal":[173],"speed":[174],"than":[175],"genetic":[178],"algorithm,":[179,200],"experimental":[181],"indicates":[183],"wavelet":[186],"neural":[187],"network":[188],"training":[189,199],"based":[191],"an":[197,206],"meanwhile":[202],"also":[205],"available":[207],"approach":[208],"solve":[210],"problems.":[213]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}