{"id":"https://openalex.org/W2939500457","doi":"https://doi.org/10.1109/icassp.2019.8683763","title":"Hybrid Deep Neural Network Model for Remaining Useful Life Estimation","display_name":"Hybrid Deep Neural Network Model for Remaining Useful Life Estimation","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2939500457","doi":"https://doi.org/10.1109/icassp.2019.8683763","mag":"2939500457"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5015847900","display_name":"Ali Al-Dulaimi","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ali Al-Dulaimi","raw_affiliation_strings":["Electrical and Computer Engineering, Concordia University, Montreal, QC, H3J 1P8, Canada","Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Concordia University, Montreal, QC, H3J 1P8, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074844055","display_name":"Soheil Zabihi","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Soheil Zabihi","raw_affiliation_strings":["Electrical and Computer Engineering, Concordia University, Montreal, QC, H3J 1P8, Canada","Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Concordia University, Montreal, QC, H3J 1P8, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059155086","display_name":"Amir Asif","orcid":"https://orcid.org/0000-0002-9393-7112"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amir Asif","raw_affiliation_strings":["Electrical and Computer Engineering, Concordia University, Montreal, QC, H3J 1P8, Canada","Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Concordia University, Montreal, QC, H3J 1P8, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058253407","display_name":"Arash Mohammadi","orcid":"https://orcid.org/0000-0003-1972-7923"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arash Mohammadi","raw_affiliation_strings":["Concordia Institute for Information System Engineering (CIISE), Concordia University, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information System Engineering (CIISE), Concordia University, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015847900"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":3.3733,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.92505486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3872","last_page":"3876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9889000058174133,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9810000061988831,"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/computer-science","display_name":"Computer science","score":0.7511036992073059},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6320160627365112},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6206440329551697},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6006285548210144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5696761608123779},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5580574870109558},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5448432564735413},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5025489330291748},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.45377758145332336},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4253327250480652},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4008806049823761},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.123558908700943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7511036992073059},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6320160627365112},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6206440329551697},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6006285548210144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5696761608123779},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5580574870109558},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5448432564735413},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5025489330291748},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.45377758145332336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4253327250480652},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4008806049823761},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.123558908700943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8683763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W119403003","https://openalex.org/W1522301498","https://openalex.org/W2025387494","https://openalex.org/W2051196068","https://openalex.org/W2096947102","https://openalex.org/W2098729161","https://openalex.org/W2120841219","https://openalex.org/W2126584714","https://openalex.org/W2134456669","https://openalex.org/W2157883849","https://openalex.org/W2342958238","https://openalex.org/W2415594836","https://openalex.org/W2471161958","https://openalex.org/W2513477101","https://openalex.org/W2547767416","https://openalex.org/W2556013418","https://openalex.org/W2565548788","https://openalex.org/W2580840020","https://openalex.org/W2590288147","https://openalex.org/W2617137613","https://openalex.org/W2690485866","https://openalex.org/W2744067593","https://openalex.org/W2772084711","https://openalex.org/W2773549135","https://openalex.org/W2789263499","https://openalex.org/W2790625295","https://openalex.org/W2792916989","https://openalex.org/W2951938574","https://openalex.org/W2964121744","https://openalex.org/W2964627014","https://openalex.org/W4300986092","https://openalex.org/W6604801135","https://openalex.org/W6631190155","https://openalex.org/W6725733176","https://openalex.org/W6740076056","https://openalex.org/W6766395000"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4293226380","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0,21,133],"paper":[1],"proposes":[2],"a":[3,43,66,108],"Hybrid":[4],"Deep":[5],"Neural":[6],"Network":[7],"(HDNN)":[8],"framework":[9,24,84,136,172],"for":[10,16,31,58],"remaining":[11],"useful":[12],"life":[13],"(RUL)":[14],"estimation":[15,33,159],"prognostic":[17,56,79,181],"health":[18],"management":[19],"applications.":[20],"proposed":[22,82,134,157,170],"HDNN":[23,83,135,171],"is":[25,137],"the":[26,51,81,118,122,125,130,140,164,169,179],"first":[27],"hybrid":[28],"model":[29,69],"designed":[30],"RUL":[32,59,158],"that":[34,168],"integrates":[35],"two":[36,87,126],"deep":[37,68],"learning":[38],"architectures":[39],"simultaneously":[40],"and":[41,70,98,152,189],"in":[42,48,178],"parallel":[44,88],"fashion.":[45],"More":[46],"specifically,":[47],"contrary":[49],"to":[50,128],"majority":[52],"of":[53,86,124,186],"existing":[54],"data-driven":[55],"approaches":[57],"estimation,":[60],"which":[61,115],"are":[62],"developed":[63,161],"based":[64,91,100,162],"on":[65,92,101,139,163],"single":[67],"can":[71],"hardly":[72],"maintain":[73],"satisfactory":[74],"generalization":[75],"performance":[76],"across":[77],"various":[78],"scenarios,":[80],"consists":[85],"paths":[89,127],"(one":[90],"Long":[93],"Short":[94],"Term":[95],"Memory":[96],"(LSTM)":[97],"one":[99],"convolutional":[102],"neural":[103,113],"networks":[104],"(CNN))":[105],"followed":[106],"by":[107],"fully":[109],"connected":[110],"multilayer":[111],"fusion":[112,119],"network,":[114],"acts":[116],"as":[117],"center":[120],"combining":[121],"outputs":[123],"form":[129],"target":[131],"RUL.":[132],"tested":[138],"NASA":[141],"commercial":[142],"modular":[143],"aero-propulsion":[144],"system":[145],"simulation":[146],"(C-MAPSS)":[147],"dataset.":[148],"Our":[149],"comprehensive":[150],"experiments":[151],"comparisons":[153],"with":[154,183],"several":[155],"recently":[156],"methodologies":[160],"same":[165],"data-sets":[166],"show":[167],"significantly":[173],"outperforms":[174],"all":[175],"its":[176],"counterparts":[177],"complicated":[180],"scenarios":[182],"increased":[184],"number":[185],"operating":[187],"conditions":[188],"fault":[190],"modes.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
