{"id":"https://openalex.org/W4403192863","doi":"https://doi.org/10.3390/s24196448","title":"KAN-HyperMP: An Enhanced Fault Diagnosis Model for Rolling Bearings in Noisy Environments","display_name":"KAN-HyperMP: An Enhanced Fault Diagnosis Model for Rolling Bearings in Noisy Environments","publication_year":2024,"publication_date":"2024-10-05","ids":{"openalex":"https://openalex.org/W4403192863","doi":"https://doi.org/10.3390/s24196448","pmid":"https://pubmed.ncbi.nlm.nih.gov/39409488"},"language":"en","primary_location":{"id":"doi:10.3390/s24196448","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24196448","pdf_url":"https://www.mdpi.com/1424-8220/24/19/6448/pdf?version=1728383993","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/19/6448/pdf?version=1728383993","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090728585","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0003-2884-4363"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Department of Ocean Engineering, Yantai Institute of Science and Technology, Yantai 265600, China"],"affiliations":[{"raw_affiliation_string":"Department of Ocean Engineering, Yantai Institute of Science and Technology, Yantai 265600, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086754171","display_name":"Zhilin Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhilin Dong","raw_affiliation_strings":["School of Engineering, Zhejiang Normal University, Jinhua 321004, China"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Zhejiang Normal University, Jinhua 321004, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079284289","display_name":"Shuang Zhang","orcid":"https://orcid.org/0000-0002-7134-0454"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086754171"],"corresponding_institution_ids":["https://openalex.org/I135237710"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.1442,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92166737,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"19","first_page":"6448","last_page":"6448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9857000112533569,"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/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.9304999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7172430753707886},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.6901307106018066},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6443465948104858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6127476096153259},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6026543378829956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.501331090927124},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.49736979603767395},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.47491464018821716},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4725201725959778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4716975688934326},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4660312831401825},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.41505885124206543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3686569333076477},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3378462791442871},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18461713194847107},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18045955896377563},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11745080351829529}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7172430753707886},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.6901307106018066},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6443465948104858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127476096153259},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6026543378829956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.501331090927124},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.49736979603767395},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.47491464018821716},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4725201725959778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4716975688934326},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4660312831401825},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.41505885124206543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3686569333076477},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3378462791442871},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18461713194847107},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18045955896377563},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11745080351829529},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24196448","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24196448","pdf_url":"https://www.mdpi.com/1424-8220/24/19/6448/pdf?version=1728383993","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39409488","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39409488","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11479279","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11479279","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:e2419d35160040bfbe50b494822bca69","is_oa":true,"landing_page_url":"https://doaj.org/article/e2419d35160040bfbe50b494822bca69","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 19, p 6448 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24196448","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24196448","pdf_url":"https://www.mdpi.com/1424-8220/24/19/6448/pdf?version=1728383993","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403192863.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2744790985","https://openalex.org/W2768753204","https://openalex.org/W2803978172","https://openalex.org/W2945365184","https://openalex.org/W3108847889","https://openalex.org/W3110510730","https://openalex.org/W3168417671","https://openalex.org/W3173671550","https://openalex.org/W3178985330","https://openalex.org/W3210012904","https://openalex.org/W4200473862","https://openalex.org/W4220998886","https://openalex.org/W4281563255","https://openalex.org/W4289779334","https://openalex.org/W4296679404","https://openalex.org/W4303982493","https://openalex.org/W4306309415","https://openalex.org/W4310477904","https://openalex.org/W4310896129","https://openalex.org/W4313307871","https://openalex.org/W4313379344","https://openalex.org/W4319241296","https://openalex.org/W4380091476","https://openalex.org/W4380786758","https://openalex.org/W4385777613","https://openalex.org/W4390085552","https://openalex.org/W4390590553","https://openalex.org/W4392346659","https://openalex.org/W4392349400","https://openalex.org/W4392543831","https://openalex.org/W4395026341","https://openalex.org/W6755340666","https://openalex.org/W6762490134","https://openalex.org/W6796455409","https://openalex.org/W6803874637","https://openalex.org/W6846225259"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W2472555608"],"abstract_inverted_index":{"Rolling":[0],"bearings":[1],"often":[2],"produce":[3],"non-stationary":[4],"signals":[5],"that":[6],"are":[7,92,136],"easily":[8],"obscured":[9],"by":[10],"noise,":[11],"particularly":[12],"in":[13,82,174],"high-noise":[14],"environments,":[15],"making":[16],"fault":[17,28,175],"detection":[18],"a":[19,26,52,57,62],"challenging":[20],"task.":[21],"To":[22],"address":[23],"this":[24],"challenge,":[25],"novel":[27],"diagnosis":[29,176],"approach":[30],"based":[31],"on":[32,153],"the":[33,66,83,96,101,108,114,118,122,125,132,154],"Kolmogorov-Arnold":[34,133],"Network-based":[35],"Hypergraph":[36],"Message":[37],"Passing":[38],"(KAN-HyperMP)":[39],"model":[40,45,115,148],"is":[41,46,149],"proposed.":[42],"The":[43,146],"KAN-HyperMP":[44],"composed":[47],"of":[48,85,103,121,128,166],"three":[49],"key":[50],"components:":[51],"neighbor":[53,67],"feature":[54,58,68,97],"aggregation":[55,69],"block,":[56,60],"fusion":[59,98],"and":[61,151,158,168,180],"KANLinear":[63],"block.":[64],"Firstly,":[65],"block":[70,99],"leverages":[71],"hypergraph":[72],"theory":[73],"to":[74,116,138],"integrate":[75],"information":[76],"from":[77,143],"more":[78],"distant":[79],"neighbors,":[80],"aiding":[81],"reduction":[84],"noise":[86],"impact,":[87],"even":[88],"when":[89],"nearby":[90],"neighbors":[91,106],"severely":[93],"affected.":[94],"Subsequently,":[95],"combines":[100],"features":[102,142],"these":[104],"higher-order":[105],"with":[107],"target":[109],"node's":[110],"own":[111],"features,":[112],"enabling":[113],"capture":[117],"complete":[119],"structure":[120],"hypergraph.":[123],"Finally,":[124],"smoothness":[126],"properties":[127],"B-spline":[129],"functions":[130],"within":[131],"Network":[134],"(KAN)":[135],"employed":[137],"extract":[139],"critical":[140],"diagnostic":[141],"noisy":[144,181],"signals.":[145],"proposed":[147],"trained":[150],"evaluated":[152],"Southeast":[155],"University":[156,160],"(SEU)":[157],"Jiangnan":[159],"(JNU)":[161],"Datasets,":[162],"achieving":[163],"accuracy":[164],"rates":[165],"99.70%":[167],"99.10%,":[169],"respectively,":[170],"demonstrating":[171],"its":[172],"effectiveness":[173],"under":[177],"both":[178],"noise-free":[179],"conditions.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}