{"id":"https://openalex.org/W2911083044","doi":"https://doi.org/10.1109/ieem.2018.8607276","title":"Research on Fault Diagnosis of Rolling Bearing Based on Wavelet Packet Transform and IPSO-SVM","display_name":"Research on Fault Diagnosis of Rolling Bearing Based on Wavelet Packet Transform and IPSO-SVM","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2911083044","doi":"https://doi.org/10.1109/ieem.2018.8607276","mag":"2911083044"},"language":"en","primary_location":{"id":"doi:10.1109/ieem.2018.8607276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem.2018.8607276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","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/A5082015443","display_name":"Ying Zhong","orcid":"https://orcid.org/0000-0003-3169-7069"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Y. X. Zhong","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060212275","display_name":"Hongbo Fan","orcid":"https://orcid.org/0000-0002-0112-7404"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"H. L. Fan","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120055150","display_name":"Jianying Lu","orcid":"https://orcid.org/0000-0003-4808-3928"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"J. P. Lu","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":null,"display_name":"L. Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"L. Pang","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051606483","display_name":"Y. F. Li","orcid":"https://orcid.org/0009-0004-1273-6864"},"institutions":[{"id":"https://openalex.org/I68581759","display_name":"China Academy of Launch Vehicle Technology","ror":"https://ror.org/012z62f48","country_code":"CN","type":"facility","lineage":["https://openalex.org/I68581759"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Y. F. Li","raw_affiliation_strings":["China Academy of Launch Vehicle Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Launch Vehicle Technology, Beijing, China","institution_ids":["https://openalex.org/I68581759"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1709,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53892859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9970999956130981,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9955999851226807,"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":0.989799976348877,"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/support-vector-machine","display_name":"Support vector machine","score":0.7688565850257874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.730406641960144},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7048702836036682},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7018505930900574},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.6975111365318298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6004443764686584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.552401065826416},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5211820006370544},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4773136079311371},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4621909558773041},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.45970281958580017},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4550619125366211},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4261886477470398},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.4106371998786926},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2869005799293518},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2552317976951599}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7688565850257874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.730406641960144},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7048702836036682},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7018505930900574},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.6975111365318298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6004443764686584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.552401065826416},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5211820006370544},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4773136079311371},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4621909558773041},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.45970281958580017},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4550619125366211},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4261886477470398},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.4106371998786926},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2869005799293518},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2552317976951599},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieem.2018.8607276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem.2018.8607276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","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":10,"referenced_works":["https://openalex.org/W39106724","https://openalex.org/W1964551425","https://openalex.org/W1979539910","https://openalex.org/W2059693210","https://openalex.org/W2126927975","https://openalex.org/W2152195021","https://openalex.org/W2366985367","https://openalex.org/W2543580944","https://openalex.org/W4242077309","https://openalex.org/W6663042999"],"related_works":["https://openalex.org/W2054017055","https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W4321517526","https://openalex.org/W1976022598","https://openalex.org/W1967182499","https://openalex.org/W2111896212","https://openalex.org/W2097034666","https://openalex.org/W2001281573","https://openalex.org/W2152748622"],"abstract_inverted_index":{"For":[0],"the":[1,13,47,56,69,73,80,104],"difficulties":[2],"of":[3,6,9,15,19,28,60,84],"feature":[4,30,48,70],"extraction":[5,31],"fault":[7,29,93,105],"signals":[8],"rolling":[10,97],"bearing":[11,98],"and":[12,32,39,55,87,114],"limitation":[14],"structural":[16,82],"parameter":[17],"optimization":[18],"support":[20],"vector":[21,44],"machine(SVM),":[22],"this":[23],"paper":[24],"proposes":[25],"a":[26,92],"method":[27],"classification":[33,94,107],"based":[34,109],"on":[35,110],"wavelet":[36,52,111],"packet":[37,53,112],"transform":[38,113],"improved":[40],"particle":[41],"swarm":[42],"optimization(IPSO)support":[43],"machine.":[45],"First,":[46],"is":[49,66,76,99],"extracted":[50],"using":[51],"transform,":[54],"sample":[57],"entropy":[58],"value":[59],"each":[61],"band":[62],"obtained":[63],"by":[64],"decomposition":[65],"used":[67,77],"as":[68],"vector.":[71],"Secondly,":[72],"IPSO":[74],"algorithm":[75],"to":[78],"optimize":[79],"tow":[81],"parameters":[83],"SVM,":[85],"penalty":[86],"Gaussian":[88],"kernel":[89],"coefficients.":[90],"Finally,":[91],"model":[95,108],"for":[96],"established.":[100],"Results":[101],"showed":[102],"that":[103],"diagnosis":[106],"IPSO-SVM":[115],"has":[116],"higher":[117],"accuracy.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
