{"id":"https://openalex.org/W2949287021","doi":"https://doi.org/10.1080/24725854.2019.1630868","title":"Remaining useful life prediction based on degradation signals using monotonic B-splines with infinite support","display_name":"Remaining useful life prediction based on degradation signals using monotonic B-splines with infinite support","publication_year":2019,"publication_date":"2019-06-19","ids":{"openalex":"https://openalex.org/W2949287021","doi":"https://doi.org/10.1080/24725854.2019.1630868","mag":"2949287021"},"language":"en","primary_location":{"id":"doi:10.1080/24725854.2019.1630868","is_oa":false,"landing_page_url":"https://doi.org/10.1080/24725854.2019.1630868","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,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IISE Transactions","raw_type":"journal-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/A5046109166","display_name":"Salman Jahani","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Salman Jahani","raw_affiliation_strings":["Department of Industrial and Systems Engineering University of Wisconsin-Madison Madison, WI, USA;"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering University of Wisconsin-Madison Madison, WI, USA;","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075324117","display_name":"Raed Al Kontar","orcid":"https://orcid.org/0000-0002-4546-324X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raed Kontar","raw_affiliation_strings":["Department of Industrial and Operations Engineering University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Operations Engineering University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000499123","display_name":"Shiyu Zhou","orcid":"https://orcid.org/0000-0002-5902-8812"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shiyu Zhou","raw_affiliation_strings":["Department of Industrial and Systems Engineering University of Wisconsin-Madison Madison, WI, USA;"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering University of Wisconsin-Madison Madison, WI, USA;","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069175463","display_name":"Dharmaraj Veeramani","orcid":"https://orcid.org/0000-0003-3796-288X"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dharmaraj Veeramani","raw_affiliation_strings":["Department of Industrial and Systems Engineering University of Wisconsin-Madison Madison, WI, USA;"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering University of Wisconsin-Madison Madison, WI, USA;","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000499123"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":2.2149,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.86306385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"52","issue":"5","first_page":"537","last_page":"554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.8285034894943237},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.6773650050163269},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5810874104499817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5710203647613525},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5558804869651794},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45234525203704834},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4363975524902344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43080249428749084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21529272198677063},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08092805743217468}],"concepts":[{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.8285034894943237},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.6773650050163269},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5810874104499817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5710203647613525},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5558804869651794},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45234525203704834},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4363975524902344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43080249428749084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21529272198677063},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08092805743217468},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/24725854.2019.1630868","is_oa":false,"landing_page_url":"https://doi.org/10.1080/24725854.2019.1630868","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,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"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:RePEc:taf:uiiexx:v:52:y:2020:i:5:p:537-554","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/24725854.2019.1630868","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,"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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W1591466783","https://openalex.org/W1603631609","https://openalex.org/W1967513204","https://openalex.org/W1967640733","https://openalex.org/W1972366448","https://openalex.org/W1977007306","https://openalex.org/W1985827874","https://openalex.org/W2003216150","https://openalex.org/W2031511512","https://openalex.org/W2032758468","https://openalex.org/W2055873761","https://openalex.org/W2058902325","https://openalex.org/W2076356721","https://openalex.org/W2080202623","https://openalex.org/W2090344516","https://openalex.org/W2090749763","https://openalex.org/W2110007571","https://openalex.org/W2110221383","https://openalex.org/W2126191527","https://openalex.org/W2152270473","https://openalex.org/W2155832827","https://openalex.org/W2162870748","https://openalex.org/W2171893978","https://openalex.org/W2288371659","https://openalex.org/W2490810337","https://openalex.org/W2558515677","https://openalex.org/W2601127096","https://openalex.org/W2756837310","https://openalex.org/W2790374560","https://openalex.org/W2791384746","https://openalex.org/W2793819418","https://openalex.org/W2887139220","https://openalex.org/W2913221859","https://openalex.org/W3098718910","https://openalex.org/W3124717920","https://openalex.org/W4230104359"],"related_works":["https://openalex.org/W2077314575","https://openalex.org/W4315701745","https://openalex.org/W1990290471","https://openalex.org/W4380682190","https://openalex.org/W2102386043","https://openalex.org/W2945307361","https://openalex.org/W2116636209","https://openalex.org/W2053698688","https://openalex.org/W2005710836","https://openalex.org/W4366779185"],"abstract_inverted_index":{"Degradation":[0],"modeling":[1,103],"traditionally":[2],"relies":[3],"on":[4,59,134,189,213],"monitoring":[5],"degradation":[6,12,26,37,51,64,67,83,107,128,148,190],"signals":[7,38,52,84,108,169],"to":[8,87,92,102,120,145,162],"model":[9,146,183],"the":[10,22,25,43,47,60,66,81,123,147,167,203],"underlying":[11],"process.":[13],"In":[14,96,118],"this":[15,97],"context,":[16],"failure":[17,44],"is":[18,75,116,132,206],"typically":[19],"defined":[20],"as":[21],"point":[23],"where":[24],"signal":[27,68,149],"reaches":[28],"a":[29,55,63,99,112,155,217],"pre-specified":[30],"threshold":[31],"level.":[32],"Many":[33],"models":[34],"assume":[35],"that":[36,78],"are":[39,85,170,197],"completely":[40],"observed":[41],"beyond":[42],"threshold,":[45],"whereas":[46],"issue":[48,124],"of":[49,62,80,106,125,141,166,177,180,202],"truncated":[50,126],"still":[53],"remains":[54],"challenge.":[56],"Moreover,":[57,144],"based":[58,133,188,212],"physics":[61],"process,":[65],"should":[69],"be":[70],"inherently":[71],"monotonic.":[72],"However,":[73],"it":[74],"almost":[76],"inevitable":[77],"most":[79],"sensor-based":[82],"subject":[86],"noise,":[88],"which":[89],"can":[90],"lead":[91],"misleading":[93],"prediction":[94],"results.":[95],"article,":[98],"non-parametric":[100],"approach":[101,131],"and":[104,152,159,208,216],"prognosis":[105],"using":[109,220],"B-splines":[110],"in":[111,154],"mixed":[113,181],"effects":[114,182],"setting":[115],"proposed.":[117],"order":[119],"deal":[121],"with":[122,139],"historical":[127],"signals,":[129],"our":[130],"augmenting":[135],"B-spline":[136],"basis":[137],"functions":[138,140],"infinite":[142],"support.":[143],"more":[150],"accurately":[151],"robustly":[153],"noisy":[156],"setting,":[157],"necessary":[158],"sufficient":[160],"conditions":[161],"ensure":[163],"monotonic":[164],"evolution":[165],"modeled":[168],"derived.":[171],"Appropriate":[172],"procedures":[173],"for":[174],"online":[175],"updating":[176],"random":[178],"coefficients":[179],"considering":[184],"derived":[185],"monotonicity":[186],"constraints":[187],"data":[191,222],"collected":[192],"from":[193,223],"an":[194],"in-service":[195],"unit":[196],"also":[198],"presented.":[199],"The":[200],"performance":[201],"proposed":[204],"framework":[205],"investigated":[207],"benchmarked":[209],"through":[210],"analysis":[211],"numerical":[214],"studies":[215],"case":[218],"study":[219],"real-world":[221],"automotive":[224],"lead-acid":[225],"batteries.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}