{"id":"https://openalex.org/W2074231064","doi":"https://doi.org/10.1109/icnc.2010.5583628","title":"Fault diagnosis of bearing using wavelet packet transform and PSO-DV based neural network","display_name":"Fault diagnosis of bearing using wavelet packet transform and PSO-DV based neural network","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2074231064","doi":"https://doi.org/10.1109/icnc.2010.5583628","mag":"2074231064"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2010.5583628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5583628","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"2010 Sixth International Conference on Natural Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","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/A5100461675","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-6615-6601"},"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":"Bo Liu","raw_affiliation_strings":["School of Mechanical Engineering & Automation, North University of China, Taiyuan, China","[School of Mechanical Engineering and Automation, North University of China, Taiyuan, China]"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering & Automation, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"[School of Mechanical Engineering and Automation, North University of China, Taiyuan, China]","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"last","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":false,"raw_author_name":"Hongxia Pan","raw_affiliation_strings":["School of Mechanical Engineering & Automation, North University of China, Taiyuan, China","[School of Mechanical Engineering and Automation, North University of China, Taiyuan, China]"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering & Automation, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"[School of Mechanical Engineering and Automation, North University of China, Taiyuan, China]","institution_ids":["https://openalex.org/I135714990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100461675"],"corresponding_institution_ids":["https://openalex.org/I135714990"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.23947368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"44","issue":null,"first_page":"1238","last_page":"1242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9975000023841858,"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":0.9825999736785889,"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":0.8482248783111572},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5755264759063721},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5496238470077515},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.540530264377594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.519295871257782},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5077558755874634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5049925446510315},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4707658290863037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46735715866088867},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4598264694213867},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4576299786567688},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.41386160254478455},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4133513569831848},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36816078424453735},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06751307845115662}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8482248783111572},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5755264759063721},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5496238470077515},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.540530264377594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.519295871257782},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5077558755874634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5049925446510315},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4707658290863037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46735715866088867},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4598264694213867},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4576299786567688},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.41386160254478455},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4133513569831848},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36816078424453735},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06751307845115662},{"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/icnc.2010.5583628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5583628","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"2010 Sixth International Conference on Natural Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","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":5,"referenced_works":["https://openalex.org/W2086465154","https://openalex.org/W2092092164","https://openalex.org/W2152195021","https://openalex.org/W2236361361","https://openalex.org/W2382088179"],"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/W2543327743"],"abstract_inverted_index":{"In":[0,33,59],"this":[1],"paper,":[2],"a":[3,77,85],"fault":[4,55,73],"diagnosis":[5,74,107],"system":[6],"is":[7,82],"proposed":[8,68,94],"for":[9,43],"rolling":[10],"bearing":[11,119],"using":[12],"wavelet":[13],"packet":[14],"transform":[15],"(WPT),":[16],"particle":[17],"swarm":[18],"optimization":[19],"(PSO)":[20],"algorithm":[21],"with":[22,84],"differential":[23],"operator":[24],"named":[25],"PSO-DV":[26,69,86],"and":[27,47,106],"back-propagation":[28],"neural":[29],"network":[30],"(BPNN)":[31],"techniques.":[32],"the":[34,50,54,60,64,67,93],"preprocessing":[35],"of":[36,57,66,75,118],"vibration":[37],"signals,":[38],"WPT":[39],"coefficients":[40],"are":[41],"used":[42],"evaluating":[44],"their":[45],"entropy":[46],"treated":[48],"as":[49],"features":[51],"to":[52,62],"distinguish":[53],"conditions":[56],"bearing.":[58],"classification,":[61],"verify":[63],"effect":[65],"based":[70,80,87,112],"BPNN":[71,81],"in":[72],"bearing,":[76],"classical":[78,110],"PSO":[79,111],"compared":[83],"BPNN.":[88,113],"The":[89],"experimental":[90],"results":[91],"showed":[92],"intelligent":[95],"method":[96],"can":[97],"escape":[98],"from":[99],"local":[100],"minima,":[101],"so":[102],"has":[103],"better":[104],"convergence":[105],"ability":[108],"than":[109],"Meanwhile,":[114],"it":[115],"achieves":[116],"classification":[117],"fault.":[120]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
