{"id":"https://openalex.org/W7140326647","doi":"https://doi.org/10.48550/arxiv.2603.23076","title":"MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices","display_name":"MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7140326647","doi":"https://doi.org/10.48550/arxiv.2603.23076"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.23076","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.23076","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.23076","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130569732","display_name":"Jiahui Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhou, Jiahui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130614737","display_name":"Dan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Dan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021198455","display_name":"Ruibing Jin","orcid":"https://orcid.org/0000-0001-8248-2776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Ruibing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041918034","display_name":"Jian Lou","orcid":"https://orcid.org/0000-0002-4110-2068"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lou, Jian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130602858","display_name":"Yanran Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Yanran","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130591225","display_name":"Zhenghua Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhenghua","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054645292","display_name":"Zigui Jiang","orcid":"https://orcid.org/0000-0002-3349-5383"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Zigui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130580193","display_name":"See-Kiong Ng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ng, See-Kiong","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5130569732"],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.15649999678134918,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.15649999678134918,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.13570000231266022,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0608999989926815,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6366999745368958},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.558899998664856},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"Predictive maintenance","score":0.5516999959945679},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4309000074863434},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.41510000824928284},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.35350000858306885},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.337799996137619},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.3212999999523163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6904000043869019},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6366999745368958},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.558899998664856},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.5516999959945679},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4309000074863434},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.41510000824928284},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4083000123500824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4041999876499176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3847000002861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3750999867916107},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35350000858306885},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.337799996137619},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3255999982357025},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31279999017715454},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C2984282874","wikidata":"https://www.wikidata.org/wiki/Q10952243","display_name":"Industrial equipment","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2637999951839447},{"id":"https://openalex.org/C140781008","wikidata":"https://www.wikidata.org/wiki/Q1221081","display_name":"Service quality","level":3,"score":0.2596000134944916},{"id":"https://openalex.org/C65813073","wikidata":"https://www.wikidata.org/wiki/Q1622420","display_name":"High availability","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.23076","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.23076","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.23076","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.23076","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6344964504241943,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Providing":[0],"reliable":[1,127,204],"predictive":[2,87,106,129],"maintenance":[3],"is":[4],"a":[5,30,115,121,133,139,160,202],"critical":[6],"industrial":[7,39,128,192],"AI":[8,56,123],"service":[9,68,124,150,156],"essential":[10],"for":[11,84,99,126],"ensuring":[12],"the":[13,81,178],"high":[14],"availability":[15],"of":[16,169,206],"manufacturing":[17],"devices.":[18],"Existing":[19],"deep-learning":[20],"methods":[21],"present":[22],"competitive":[23],"results":[24],"on":[25,173],"such":[26],"tasks":[27],"but":[28],"lack":[29],"general":[31],"service-oriented":[32],"framework":[33,180],"to":[34,144,153],"capture":[35,145],"complex":[36],"dependencies":[37],"in":[38,66,92],"IoT":[40],"sensor":[41,63],"data.":[42,151],"While":[43],"Transformer-based":[44],"models":[45,103],"show":[46],"strong":[47,198],"sequence":[48],"modeling":[49],"capabilities,":[50],"their":[51],"direct":[52],"deployment":[53],"as":[54,104,120],"robust":[55,105],"services":[57,88],"faces":[58],"significant":[59,97,182],"bottlenecks.":[60],"Specifically,":[61],"streaming":[62],"data":[64],"collected":[65],"real-world":[67,174],"environments":[69],"often":[70],"exhibits":[71],"multi-scale":[72],"temporal":[73],"correlations":[74,147],"driven":[75],"by":[76],"machine":[77],"working":[78],"principles.":[79],"Besides,":[80],"datasets":[82,175],"available":[83],"training":[85],"time-to-failure":[86],"are":[89],"typically":[90],"limited":[91],"size.":[93],"These":[94],"issues":[95],"pose":[96],"challenges":[98],"directly":[100],"applying":[101],"existing":[102],"services.":[107],"To":[108],"address":[109],"these":[110],"challenges,":[111],"we":[112],"propose":[113],"MsFormer,":[114],"lightweight":[116,161],"Multi-scale":[117,134],"Transformer":[118],"designed":[119],"unified":[122],"model":[125],"maintenance.":[130],"MsFormer":[131,158,189],"incorporates":[132],"Sampling":[135],"(MS)":[136],"module":[137],"and":[138,194],"tailored":[140],"position":[141],"encoding":[142],"mechanism":[143,163],"sequential":[146],"across":[148,191],"multi-streaming":[149],"Additionally,":[152],"accommodate":[154],"data-scarce":[155],"environments,":[157],"adopts":[159],"attention":[162],"with":[164],"straightforward":[165],"pooling":[166],"operations":[167],"instead":[168],"self-attention.":[170],"Extensive":[171],"experiments":[172],"demonstrate":[176],"that":[177],"proposed":[179],"achieves":[181],"performance":[183],"improvements":[184],"over":[185],"state-of-the-art":[186],"methods.":[187],"Furthermore,":[188],"outperforms":[190],"devices":[193],"operating":[195],"conditions,":[196],"demonstrating":[197],"generalizability":[199],"while":[200],"maintaining":[201],"highly":[203],"Quality":[205],"Service":[207],"(QoS).":[208]},"counts_by_year":[],"updated_date":"2026-03-26T06:10:45.909354","created_date":"2026-03-26T00:00:00"}
