{"id":"https://openalex.org/W7127339197","doi":"https://doi.org/10.1109/ccece64018.2025.11364400","title":"Multi-Channel Swin Transformer Framework for Bearing Remaining Useful Life Prediction","display_name":"Multi-Channel Swin Transformer Framework for Bearing Remaining Useful Life Prediction","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W7127339197","doi":"https://doi.org/10.1109/ccece64018.2025.11364400"},"language":null,"primary_location":{"id":"doi:10.1109/ccece64018.2025.11364400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece64018.2025.11364400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","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/A5120054239","display_name":"Ali Mohajerzarrinkelk","orcid":null},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Mohajerzarrinkelk","raw_affiliation_strings":["University of Victoria,Faculty of Engineering and Computer Science,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Victoria,Faculty of Engineering and Computer Science,Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010030583","display_name":"Maryam Ahang","orcid":"https://orcid.org/0000-0001-5580-3693"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Maryam Ahang","raw_affiliation_strings":["University of Victoria,Faculty of Engineering and Computer Science,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Victoria,Faculty of Engineering and Computer Science,Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120054240","display_name":"Mehran Zoravar","orcid":null},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mehran Zoravar","raw_affiliation_strings":["University of Victoria,Faculty of Engineering and Computer Science,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Victoria,Faculty of Engineering and Computer Science,Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124881295","display_name":"Mostafa Abbasi","orcid":null},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mostafa Abbasi","raw_affiliation_strings":["University of Victoria,Faculty of Engineering and Computer Science,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Victoria,Faculty of Engineering and Computer Science,Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058540009","display_name":"Homayoun Najjaran","orcid":"https://orcid.org/0000-0002-3550-225X"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Homayoun Najjaran","raw_affiliation_strings":["University of Victoria,Faculty of Engineering and Computer Science,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Victoria,Faculty of Engineering and Computer Science,Canada","institution_ids":["https://openalex.org/I212119943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I212119943"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61102844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"592","last_page":"596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9908999800682068,"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":0.9908999800682068,"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":0.0017000000225380063,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/predictive-maintenance","display_name":"Predictive maintenance","score":0.49619999527931213},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4187000095844269},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41190001368522644},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.38449999690055847},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.37779998779296875},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3732999861240387},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.32829999923706055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5440999865531921},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.49619999527931213},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4465999901294708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44269999861717224},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4187000095844269},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41190001368522644},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40700000524520874},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.38449999690055847},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.37779998779296875},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3732999861240387},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3677000105381012},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3483999967575073},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C2776907094","wikidata":"https://www.wikidata.org/wiki/Q1043452","display_name":"Condition-based maintenance","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece64018.2025.11364400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece64018.2025.11364400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.46547865867614746,"id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2146842127","https://openalex.org/W2150823344","https://openalex.org/W2516566105","https://openalex.org/W2980069703","https://openalex.org/W3132015041","https://openalex.org/W3138516171","https://openalex.org/W3177628906","https://openalex.org/W3208667612","https://openalex.org/W3216678969","https://openalex.org/W4311868041","https://openalex.org/W4313282129","https://openalex.org/W4399164364","https://openalex.org/W4399200453","https://openalex.org/W4403677518"],"related_works":[],"abstract_inverted_index":{"Precise":[0],"estimation":[1,44],"of":[2,8,45,113,133,183],"the":[3,36,84,129,142,157,196,203,218],"Remaining":[4],"Useful":[5],"Life":[6],"(RUL)":[7],"rolling":[9],"bearings":[10],"is":[11,86,107],"an":[12],"important":[13],"consideration":[14],"to":[15,38,73,88,116,195],"avoid":[16],"unexpected":[17],"failures,":[18],"reduce":[19],"downtime,":[20],"and":[21,24,35,65,91,120,127,161,168,199,233,241],"promote":[22],"safety":[23,236],"efficiency":[25],"in":[26,30,41,213,217,246],"industrial":[27,247],"systems.":[28],"Complications":[29],"degradation":[31,93],"trends,":[32],"noise":[33,229],"presence,":[34],"necessity":[37],"detect":[39],"faults":[40],"advance":[42],"make":[43,237],"RUL":[46],"a":[47,53,66,103,110,214,239],"challenging":[48],"task.":[49],"This":[50],"paper":[51],"introduces":[52],"novel":[54],"framework":[55],"that":[56,151],"combines":[57],"wavelet-based":[58],"denoising":[59],"method,":[60],"Wavelet":[61],"Packet":[62],"Decomposition":[63],"(WPD),":[64],"customized":[67,104],"multichannel":[68],"Swin":[69,200],"Transformer":[70],"model":[71,85,138],"(MCSFormer)":[72],"address":[74],"these":[75],"problems.":[76],"With":[77],"attention":[78],"mechanisms":[79],"incorporated":[80],"for":[81,98],"feature":[82],"fusion,":[83],"designed":[87],"learn":[89],"global":[90],"local":[92],"patterns":[94],"utilizing":[95],"hierarchical":[96],"representations":[97],"enhancing":[99],"predictive":[100,243],"performance.":[101,225],"Additionally,":[102],"loss":[105,205],"function":[106,206],"developed":[108],"as":[109,211],"key":[111],"distinction":[112],"this":[114],"work":[115],"differentiate":[117],"between":[118],"early":[119,125],"late":[121,134,209],"predictions,":[122,210],"prioritizing":[123],"accurate":[124],"detection":[126],"minimizing":[128],"high":[130],"operation":[131],"risks":[132],"predictions.":[135],"The":[136,226],"proposed":[137],"was":[139],"evaluated":[140],"with":[141],"PRONOSTIA":[143],"dataset":[144],"using":[145],"three":[146],"experiments.":[147],"Intra-condition":[148],"experiments":[149],"demonstrated":[150],"MCSFormer":[152,238],"outperformed":[153],"state-of-the-art":[154],"models,":[155],"including":[156],"Adaptive":[158],"Transformer,":[159],"MDAN,":[160],"CNN-SRU,":[162],"achieving":[163],"41%,":[164],"$\\mathbf{6":[165,169],"4":[166],"\\%}$,":[167],"9":[170],"\\%}$":[171],"lower":[172],"MAE":[173],"on":[174,235],"average":[175],"across":[176],"different":[177],"operating":[178,192],"conditions,":[179],"respectively.":[180],"In":[181],"terms":[182],"cross-condition":[184],"testing,":[185],"it":[186],"achieved":[187],"superior":[188],"generalization":[189,231],"under":[190],"varying":[191],"conditions":[193],"compared":[194],"adapted":[197],"ViT":[198],"Transformer.":[201],"Lastly,":[202],"custom":[204],"effectively":[207],"reduced":[208],"evidenced":[212],"6.3%":[215],"improvement":[216],"scoring":[219],"metric":[220],"while":[221],"maintaining":[222],"competitive":[223],"overall":[224],"model\u2019s":[227],"robust":[228],"resistance,":[230],"capability,":[232],"focus":[234],"trustworthy":[240],"effective":[242],"maintenance":[244],"tool":[245],"applications.":[248]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-02-04T00:00:00"}