{"id":"https://openalex.org/W2984400501","doi":"https://doi.org/10.12783/shm2019/32284","title":"Composite Material Remaining Useful Life Estimation Using an IoT-Compatible Probabilistic Modeling Framework","display_name":"Composite Material Remaining Useful Life Estimation Using an IoT-Compatible Probabilistic Modeling Framework","publication_year":2019,"publication_date":"2019-11-15","ids":{"openalex":"https://openalex.org/W2984400501","doi":"https://doi.org/10.12783/shm2019/32284","mag":"2984400501"},"language":"en","primary_location":{"id":"doi:10.12783/shm2019/32284","doi":"https://doi.org/10.12783/shm2019/32284","is_oa":false,"landing_page_url":"https://doi.org/10.12783/shm2019/32284","pdf_url":null,"source":{"id":"https://openalex.org/S4363608723","display_name":"International Workshop on Structural Health Monitoring (IWSHM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Structural Health Monitoring 2019","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5009918928","display_name":"Krzysztof Mazur","orcid":"https://orcid.org/0000-0003-2612-9999","observed_orcids":["https://orcid.org/0000-0003-2612-9999"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"KRZYSZTOF MAZUR","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"SARAH MALIK","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"SARAH MALIK","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049067537","display_name":"Rakeen Rouf","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"RAKEEN ROUF","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089348610","display_name":"Mohammadreza Bahadori","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"MOHAMMADREZA BAHADORI","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063497913","display_name":"Mira Shehu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"MIRA SHEHU","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101445354","display_name":"Melvin Domin Mathew","orcid":"https://orcid.org/0000-0002-9781-2042","observed_orcids":["https://orcid.org/0000-0002-9781-2042"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"MELVIN MATTHEW","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013258111","display_name":"Emine Tekerek","orcid":"https://orcid.org/0000-0002-7320-1319","observed_orcids":["https://orcid.org/0000-0002-7320-1319"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"EMINE TEKEREK","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070352118","display_name":"Brian J. Wisner","orcid":"https://orcid.org/0000-0002-8852-0216","observed_orcids":["https://orcid.org/0000-0002-8852-0216"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"BRIAN WISNER","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5019860690","display_name":"Antonios Kontsos","orcid":"https://orcid.org/0000-0002-3591-2478","observed_orcids":["https://orcid.org/0000-0002-3591-2478"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ANTONIOS KONTSOS","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.788,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60371976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.7279999852180481,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.7279999852180481,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.05829999968409538,"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":0.056299999356269836,"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/remaining-useful-life-prediction","display_name":"remaining useful life prediction","score":0.9039999842643738},{"id":"https://openalex.org/keywords/fiber-reinforced-composites","display_name":"fiber-reinforced composites","score":0.9919999837875366},{"id":"https://openalex.org/keywords/stochastic-modeling","display_name":"stochastic modeling","score":0.6850000023841858},{"id":"https://openalex.org/keywords/digital-twin","display_name":"digital twin","score":0.6330000162124634},{"id":"https://openalex.org/keywords/non-destructive-testing","display_name":"non-destructive testing","score":0.8870000243186951},{"id":"https://openalex.org/keywords/damage-monitoring","display_name":"damage monitoring","score":0.7540000081062317},{"id":"https://openalex.org/keywords/outlier-analysis","display_name":"outlier analysis","score":0.8519999980926514},{"id":"https://openalex.org/keywords/unsupervised-clustering","display_name":"unsupervised clustering","score":0.9509999752044678},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9539999961853027},{"id":"https://openalex.org/keywords/hidden-markov-models","display_name":"hidden Markov models","score":0.9980000257492065},{"id":"https://openalex.org/keywords/stream-processing","display_name":"stream processing","score":0.6919999718666077},{"id":"https://openalex.org/keywords/data-quality","display_name":"data quality","score":0.36399999260902405},{"id":"https://openalex.org/keywords/aerospace-composites","display_name":"aerospace composites","score":0.746999979019165},{"id":"https://openalex.org/keywords/mechanical-testing","display_name":"mechanical testing","score":0.8550000190734863}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7223885655403137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7000516653060913},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6058213710784912},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5518121719360352},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5426710844039917},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5181401968002319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.513592004776001},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4860101640224457},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43094655871391296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3639872670173645},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3285601735115051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.278409481048584},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1903761327266693},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15820229053497314},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.12783/shm2019/32284","doi":"https://doi.org/10.12783/shm2019/32284","is_oa":false,"landing_page_url":"https://doi.org/10.12783/shm2019/32284","pdf_url":null,"source":{"id":"https://openalex.org/S4363608723","display_name":"International Workshop on Structural Health Monitoring (IWSHM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Structural Health Monitoring 2019","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5378999710083008}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4206797410","https://openalex.org/W6903802811","https://openalex.org/W7095114224","https://openalex.org/W3091423822","https://openalex.org/W2893416448","https://openalex.org/W2602949467","https://openalex.org/W2901462536","https://openalex.org/W2525154155","https://openalex.org/W4404205119","https://openalex.org/W2979432113"],"abstract_inverted_index":{"Monitoring":[0],"real-time":[1],"failure":[2],"in":[3,57,106,117,201,252,304,328],"fiber-reinforced":[4],"composites":[5],"using":[6],"nondestructive":[7],"evaluation":[8],"(NDE)":[9],"is":[10,75,122,161,171,212,257,313],"a":[11,38,78,164,228,262,268],"fairly":[12],"difficult":[13],"task":[14],"due":[15,26],"to":[16,27,49,63,95,100,113,142,162,226,260,322],"the":[17,58,66,89,104,107,118,185,190,204,215,281,295,301],"associated":[18],"evolving":[19],"material":[20,312],"state":[21],"uncertainties,":[22],"as":[23,25,149,151,286,325,327],"well":[24,150,326],"data":[28,67,134,193],"management":[29],"mining":[30],"and":[31,43,72,83,97,136,153,195,242],"signal":[32,275],"processing":[33,137,243],"challenges.":[34],"In":[35,61],"this":[36,159,319],"context,":[37],"number":[39],"of":[40,52,80,120,158,173,182,192,217,231,235,300,308],"statistical,":[41],"probabilistic":[42,167,205,209],"physics-based":[44],"models":[45],"have":[46],"been":[47],"proposed":[48,208,302],"make":[50,88,318],"predictions":[51],"remaining":[53],"useful":[54],"life":[55],"(RUL)":[56],"built":[59],"environment.":[60],"parallel":[62],"modeling":[64,152,168,210],"efforts,":[65],"quality":[68,224],"from":[69,245,277],"sensing,":[70],"NDE":[71,246],"testing":[73,306],"methods":[74,116],"compromised":[76],"by":[77,240],"variety":[79],"intrinsic":[81],"(hardware)":[82],"extrinsic":[84],"(noise)":[85],"factors":[86],"that":[87,170,188,198,293,316],"damage":[90,146],"assessment":[91],"process":[92],"both":[93,145],"challenging":[94],"visualize":[96],"computationally":[98],"expensive":[99],"analyze.":[101],"Most":[102],"importantly,":[103],"uncertainties":[105],"recorded":[108],"data,":[109],"also":[110],"hinder":[111],"efforts":[112],"create":[114],"data-driven":[115],"framework":[119,180],"what":[121],"currently":[123,140],"called":[124],"digital":[125,329],"twin":[126,330],"modeling.":[127],"To":[128],"address":[129],"such":[130],"issues":[131],"more":[132],"efficient":[133],"workflows":[135],"procedures":[138,197],"are":[139,237,249,283,332],"sought":[141],"assist":[143],"with":[144,222,280],"monitoring":[147],"assessment,":[148],"predictions.":[154,297],"The":[155,179,207,274],"objective,":[156],"therefore,":[157],"manuscript":[160],"present":[163],"novel":[165],"datadriven":[166],"methodology":[169],"capable":[172],"producing":[174],"RUL":[175,236,296],"estimates":[176],"for":[177,288],"composites.":[178],"consists":[181],"two":[183],"parts:":[184],"hardware/software":[186],"integration":[187],"allows":[189],"establishment":[191],"streaming":[194],"handling":[196],"ultimately":[199],"feed":[200],"real":[202],"time":[203],"approach.":[206],"approach":[211,303,320],"based":[213],"on":[214],"use":[216],"an":[218,289,309],"outlier":[219],"analysis":[220],"combined":[221,279],"information":[223,256],"metrics":[225],"identify":[227],"given":[229],"set":[230],"degradation":[232],"states.":[233],"Predictions":[234],"then":[238,250,284],"made":[239],"extracting":[241],"features":[244],"datasets":[247],"which":[248],"used":[251,285],"unsupervised":[253],"clustering.":[254],"Such":[255],"subsequently":[258],"leveraged":[259],"train":[261],"support":[263],"vector":[264],"machine":[265],"(SVM)":[266],"alongside":[267],"hidden":[269],"Markov":[270],"chain":[271],"model":[272],"(HMM).":[273],"classifications":[276],"SVM":[278],"HMM":[282],"inputs":[287],"adaptive":[290],"neuro-fuzzy":[291],"network":[292],"produces":[294],"An":[298],"application":[299],"mechanical":[305],"experiments":[307],"aerospace-grade":[310],"composite":[311],"presented.":[314],"Extensions":[315],"can":[317],"applicable":[321],"industrial":[323],"applications":[324],"implementations":[331],"discussed.":[333]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-11-22T00:00:00"}