{"id":"https://openalex.org/W4284895037","doi":"https://doi.org/10.1109/icphm53196.2022.9815635","title":"An Enhanced Sparse Filtering Fusion Method for Bearing Fault Diagnosis","display_name":"An Enhanced Sparse Filtering Fusion Method for Bearing Fault Diagnosis","publication_year":2022,"publication_date":"2022-06-06","ids":{"openalex":"https://openalex.org/W4284895037","doi":"https://doi.org/10.1109/icphm53196.2022.9815635"},"language":"en","primary_location":{"id":"doi:10.1109/icphm53196.2022.9815635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm53196.2022.9815635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Prognostics and Health Management (ICPHM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045552040","display_name":"Demin Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Demin Peng","raw_affiliation_strings":["Soochow University,School of Rail Transportation,Suzhou,China","School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University,School of Rail Transportation,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008653906","display_name":"Xingxing Jiang","orcid":"https://orcid.org/0000-0003-2987-6930"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxing Jiang","raw_affiliation_strings":["Soochow University,School of Rail Transportation,Suzhou,China","School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University,School of Rail Transportation,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102782338","display_name":"Qiuyu Song","orcid":"https://orcid.org/0000-0002-7683-0567"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuyu Song","raw_affiliation_strings":["Soochow University,School of Rail Transportation,Suzhou,China","School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University,School of Rail Transportation,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109131779","display_name":"Zhongkui Zhu","orcid":"https://orcid.org/0000-0002-3392-1020"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongkui Zhu","raw_affiliation_strings":["Soochow University,School of Rail Transportation,Suzhou,China","School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University,School of Rail Transportation,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"203","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9951000213623047,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9379000067710876,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6516952514648438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6405238509178162},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6278950572013855},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.6250986456871033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.577599823474884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.549828290939331},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5114242434501648},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49115511775016785},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4596303403377533},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4576382637023926},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43896040320396423},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4363093674182892},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1722339689731598},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17089179158210754},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.058451682329177856},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05636316537857056}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6516952514648438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6405238509178162},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6278950572013855},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.6250986456871033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.577599823474884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.549828290939331},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5114242434501648},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49115511775016785},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4596303403377533},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4576382637023926},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43896040320396423},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4363093674182892},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1722339689731598},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17089179158210754},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.058451682329177856},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05636316537857056},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icphm53196.2022.9815635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm53196.2022.9815635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Prognostics and Health Management (ICPHM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1981927377","https://openalex.org/W2056700360","https://openalex.org/W2074413628","https://openalex.org/W2111854888","https://openalex.org/W2257678584","https://openalex.org/W2317595875","https://openalex.org/W2471909727","https://openalex.org/W2530780582","https://openalex.org/W2751891979","https://openalex.org/W2757638459","https://openalex.org/W2796388611","https://openalex.org/W2910029591","https://openalex.org/W2915273349","https://openalex.org/W3006388671","https://openalex.org/W3022701345","https://openalex.org/W3108670073","https://openalex.org/W3129676456"],"related_works":["https://openalex.org/W2035937180","https://openalex.org/W3196220745","https://openalex.org/W2061308401","https://openalex.org/W4311624988","https://openalex.org/W4232403546","https://openalex.org/W2364348613","https://openalex.org/W2366782036","https://openalex.org/W2033726186","https://openalex.org/W3037331970","https://openalex.org/W2925196684"],"abstract_inverted_index":{"Sparse":[0],"filtering":[1,26,40],"and":[2,130],"its":[3],"variants":[4],"have":[5],"been":[6],"used":[7,79],"in":[8,49,86,149],"the":[9,18,23,53,59,64,82,87,102,106,114,119,126,134,142],"field":[10],"of":[11,15,33,105,133],"weak":[12],"feature":[13,97,110],"extraction":[14],"bearing.":[16],"However,":[17],"fault":[19,47,65,84,89,96,109,151],"features":[20,66,85,90],"extracted":[21,88],"by":[22,70,113],"current":[24],"sparse":[25,39,73],"methods":[27],"are":[28,122],"still":[29],"subject":[30],"to":[31,80,124],"contamination":[32],"strong":[34],"noises.":[35],"Therefore,":[36],"an":[37,71],"enhanced":[38,72,95,108],"fusion":[41,98,111],"method":[42,55,144],"is":[43,56,78],"proposed":[44,54,143],"for":[45,91],"bearing":[46,150],"diagnosis":[48],"this":[50],"study.":[51],"Specifically,":[52],"conducted":[57],"through":[58],"following":[60],"steps.":[61],"First,":[62],"extract":[63],"under":[67],"background":[68],"noise":[69],"filtering.":[74],"Second,":[75],"Gini":[76],"index":[77],"select":[81],"sparser":[83],"constructing":[92],"a":[93,146],"multi-dimensional":[94,107],"source.":[99],"Third,":[100],"obtain":[101],"intrinsic":[103,120],"manifolds":[104,121],"source":[112],"manifold":[115],"learning":[116],"algorithm.":[117],"Finally,":[118],"weighted":[123],"recover":[125],"fault-related":[127],"transients.":[128],"Analysis":[129],"comparison":[131],"results":[132],"experiment":[135],"data":[136],"from":[137],"defective":[138],"bearings":[139],"indicates":[140],"that":[141],"shows":[145],"prominent":[147],"superiority":[148],"diagnosis.":[152]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}