{"id":"https://openalex.org/W4399118347","doi":"https://doi.org/10.1080/24725854.2024.2360619","title":"A federated data fusion-based prognostic model for applications with multi-stream incomplete signals","display_name":"A federated data fusion-based prognostic model for applications with multi-stream incomplete signals","publication_year":2024,"publication_date":"2024-05-29","ids":{"openalex":"https://openalex.org/W4399118347","doi":"https://doi.org/10.1080/24725854.2024.2360619"},"language":"en","primary_location":{"id":"doi:10.1080/24725854.2024.2360619","doi":"https://doi.org/10.1080/24725854.2024.2360619","is_oa":false,"landing_page_url":"https://doi.org/10.1080/24725854.2024.2360619","pdf_url":null,"source":{"id":"https://openalex.org/S4210225672","display_name":"IISE Transactions","issn_l":"2472-5854","issn":["2472-5854","2472-5862"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IISE Transactions","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2311.07474","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114099835","display_name":"Madi Arabi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Madi Arabi","raw_affiliation_strings":["Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University","Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027445873","display_name":"Xiaolei Fang","orcid":"https://orcid.org/0000-0002-0215-0403","observed_orcids":["https://orcid.org/0000-0002-0215-0403"]},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaolei Fang","raw_affiliation_strings":["Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University","Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027445873"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":1.3016,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78070091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"57","issue":"6","first_page":"655","last_page":"675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.8163999915122986,"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"}},"topics":[{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.8163999915122986,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.1462000012397766,"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":0.012000000104308128,"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/federated-learning","display_name":"federated learning","score":0.9879999756813049},{"id":"https://openalex.org/keywords/prognostics","display_name":"prognostics","score":0.8309999704360962},{"id":"https://openalex.org/keywords/time-to-failure-prediction","display_name":"failure time prediction","score":0.765999972820282},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.9200000166893005},{"id":"https://openalex.org/keywords/data-privacy","display_name":"data privacy","score":0.7229999899864197},{"id":"https://openalex.org/keywords/multivariate-functional-principal-component-analysis","display_name":"multivariate functional principal component analysis","score":0.8980000019073486},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.7350000143051147},{"id":"https://openalex.org/keywords/data-fusion","display_name":"data fusion","score":0.5419999957084656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.700588583946228},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.49004900455474854},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.4820581376552582},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4645189046859741},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08468058705329895},{"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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/24725854.2024.2360619","doi":"https://doi.org/10.1080/24725854.2024.2360619","is_oa":false,"landing_page_url":"https://doi.org/10.1080/24725854.2024.2360619","pdf_url":null,"source":{"id":"https://openalex.org/S4210225672","display_name":"IISE Transactions","issn_l":"2472-5854","issn":["2472-5854","2472-5862"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IISE Transactions","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2311.07474","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.07474","pdf_url":"https://arxiv.org/pdf/2311.07474","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:RePEc:taf:uiiexx:v:57:y:2025:i:6:p:655-675","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/24725854.2024.2360619","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.48550/arxiv.2311.07474","doi":"https://doi.org/10.48550/arxiv.2311.07474","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2311.07474","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2311.07474","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.07474","pdf_url":"https://arxiv.org/pdf/2311.07474","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399118347.pdf","grobid_xml":"https://content.openalex.org/works/W4399118347.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1519307815","https://openalex.org/W2009114075","https://openalex.org/W2030373043","https://openalex.org/W2057531168","https://openalex.org/W2062481674","https://openalex.org/W2102628473","https://openalex.org/W2110121428","https://openalex.org/W2114106396","https://openalex.org/W2120513799","https://openalex.org/W2120841219","https://openalex.org/W2141758575","https://openalex.org/W2144148350","https://openalex.org/W2144730813","https://openalex.org/W2151358751","https://openalex.org/W2152270473","https://openalex.org/W2157883849","https://openalex.org/W2541884796","https://openalex.org/W2554275686","https://openalex.org/W2559655669","https://openalex.org/W2744999500","https://openalex.org/W2795354529","https://openalex.org/W2912213068","https://openalex.org/W3011621977","https://openalex.org/W3021654819","https://openalex.org/W3023510488","https://openalex.org/W3038608135","https://openalex.org/W3084130864","https://openalex.org/W3086809868","https://openalex.org/W3128962944","https://openalex.org/W3214061769","https://openalex.org/W4248386371","https://openalex.org/W4299419703","https://openalex.org/W4312352414","https://openalex.org/W4312975111","https://openalex.org/W4362500790","https://openalex.org/W4381747964","https://openalex.org/W4384558852","https://openalex.org/W7036634323"],"related_works":["https://openalex.org/W4403573331","https://openalex.org/W7155220517","https://openalex.org/W7171685411","https://openalex.org/W6979224019","https://openalex.org/W3038608135","https://openalex.org/W4411363216","https://openalex.org/W4377000595","https://openalex.org/W3215656739","https://openalex.org/W7167793403","https://openalex.org/W3139014809"],"abstract_inverted_index":{"Most":[0],"prognostic":[1,36,47,77,152],"methods":[2],"require":[3],"a":[4,22,34,45,56,104,127],"decent":[5],"amount":[6,16],"of":[7,17,122,140,149,159],"data":[8,19,67,72,120],"for":[9,108,131],"model":[10,48,60,78,107,143],"training.":[11],"In":[12],"reality,":[13],"however,":[14],"the":[15,88,93,98,119,138,141,145,160],"historical":[18],"owned":[20],"by":[21,163],"single":[23],"organization":[24],"might":[25],"be":[26],"small":[27],"or":[28],"not":[29],"large":[30],"enough":[31],"to":[32,53,86,102],"train":[33],"reliable":[35],"model.":[37],"To":[38,111],"address":[39],"this":[40,42],"challenge,":[41],"article":[43],"proposes":[44],"federated":[46,129],"that":[49,137,148,158],"allows":[50],"multiple":[51],"users":[52],"jointly":[54],"construct":[55],"failure":[57,109],"time":[58],"prediction":[59],"using":[61,114],"their":[62],"multi-stream,":[63],"high-dimensional,":[64],"and":[65,74,117,154],"incomplete":[66],"while":[68],"keeping":[69],"each":[70,164],"user\u2019s":[71],"local":[73],"confidential.":[75],"The":[76],"first":[79],"employs":[80],"multivariate":[81],"functional":[82],"principal":[83],"component":[84],"analysis":[85],"fuse":[87],"multi-stream":[89],"degradation":[90],"signals.":[91],"Then,":[92],"fused":[94],"features":[95],"coupled":[96],"with":[97],"times-to-failure":[99],"are":[100],"utilized":[101],"build":[103],"(log)-location-scale":[105],"regression":[106],"prediction.":[110],"estimate":[112],"parameters":[113],"distributed":[115],"datasets":[116],"keep":[118],"privacy":[121],"all":[123],"participants,":[124],"we":[125],"propose":[126],"new":[128],"algorithm":[130],"feature":[132],"extraction.":[133],"Numerical":[134],"studies":[135],"indicate":[136],"performance":[139],"proposed":[142],"is":[144,155],"same":[146],"as":[147],"classic":[150],"non-federated":[151],"models":[153,161],"better":[156],"than":[157],"constructed":[162],"user":[165],"itself.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-05-30T00:00:00"}
