{"id":"https://openalex.org/W3112295448","doi":"https://doi.org/10.1155/2020/8814658","title":"Developing Deep Survival Model for Remaining Useful Life Estimation Based on Convolutional and Long Short-Term Memory Neural Networks","display_name":"Developing Deep Survival Model for Remaining Useful Life Estimation Based on Convolutional and Long Short-Term Memory Neural Networks","publication_year":2020,"publication_date":"2020-12-04","ids":{"openalex":"https://openalex.org/W3112295448","doi":"https://doi.org/10.1155/2020/8814658","mag":"3112295448"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8814658","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8814658","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2020/8814658.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/wcmc/2020/8814658.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103068606","display_name":"Chia-Hua Chu","orcid":"https://orcid.org/0000-0002-9967-6072"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Hua Chu","raw_affiliation_strings":["School of Big Data Management, Soochow University, Taipei City 111, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-9967-6072","affiliations":[{"raw_affiliation_string":"School of Big Data Management, Soochow University, Taipei City 111, Taiwan","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101614564","display_name":"Chia-Jung Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Jung Lee","raw_affiliation_strings":["School of Big Data Management, Soochow University, Taipei City 111, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-0902-794X","affiliations":[{"raw_affiliation_string":"School of Big Data Management, Soochow University, Taipei City 111, Taiwan","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048127662","display_name":"Hsiang\u2010Yuan Yeh","orcid":"https://orcid.org/0000-0002-6267-9958"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hsiang-Yuan Yeh","raw_affiliation_strings":["School of Big Data Management, Soochow University, Taipei City 111, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-6267-9958","affiliations":[{"raw_affiliation_string":"School of Big Data Management, Soochow University, Taipei City 111, Taiwan","institution_ids":["https://openalex.org/I185940356"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048127662"],"corresponding_institution_ids":["https://openalex.org/I185940356"],"apc_list":{"value":2300,"currency":"USD","value_usd":2550},"apc_paid":{"value":2300,"currency":"USD","value_usd":2550},"fwci":1.2962,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79050312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9972000122070312,"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":0.9972000122070312,"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":0.993399977684021,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.8733265995979309},{"id":"https://openalex.org/keywords/downtime","display_name":"Downtime","score":0.6946288347244263},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6862980127334595},{"id":"https://openalex.org/keywords/turbofan","display_name":"Turbofan","score":0.5724315047264099},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5367283821105957},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5149046182632446},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5040827989578247},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49785757064819336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47622543573379517},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4563671946525574},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.45452937483787537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42471349239349365},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4128012955188751},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.10131305456161499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8733265995979309},{"id":"https://openalex.org/C180591934","wikidata":"https://www.wikidata.org/wiki/Q1253369","display_name":"Downtime","level":2,"score":0.6946288347244263},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6862980127334595},{"id":"https://openalex.org/C110050840","wikidata":"https://www.wikidata.org/wiki/Q654051","display_name":"Turbofan","level":2,"score":0.5724315047264099},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5367283821105957},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5149046182632446},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5040827989578247},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49785757064819336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47622543573379517},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4563671946525574},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.45452937483787537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42471349239349365},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4128012955188751},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.10131305456161499},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2020/8814658","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8814658","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2020/8814658.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7418aa74f3ea43b7bb918cd8f504f23e","is_oa":false,"landing_page_url":"https://doaj.org/article/7418aa74f3ea43b7bb918cd8f504f23e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wireless Communications and Mobile Computing, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/8814658","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8814658","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2020/8814658.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3112295448.pdf","grobid_xml":"https://content.openalex.org/works/W3112295448.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W2013821261","https://openalex.org/W2037250283","https://openalex.org/W2045186954","https://openalex.org/W2048868027","https://openalex.org/W2066593543","https://openalex.org/W2086021758","https://openalex.org/W2095705004","https://openalex.org/W2103848027","https://openalex.org/W2106544870","https://openalex.org/W2107878631","https://openalex.org/W2110787940","https://openalex.org/W2137512539","https://openalex.org/W2139177900","https://openalex.org/W2151017405","https://openalex.org/W2153635508","https://openalex.org/W2415594836","https://openalex.org/W2471161958","https://openalex.org/W2481970566","https://openalex.org/W2544905596","https://openalex.org/W2617137613","https://openalex.org/W2744067593","https://openalex.org/W2768148617","https://openalex.org/W2772084711","https://openalex.org/W2773549135","https://openalex.org/W2792657775","https://openalex.org/W2792764867","https://openalex.org/W2805330622","https://openalex.org/W2805975258","https://openalex.org/W2807490715","https://openalex.org/W2897557170","https://openalex.org/W2904975428","https://openalex.org/W2910660149","https://openalex.org/W2920879126","https://openalex.org/W2947621394","https://openalex.org/W2963232127","https://openalex.org/W2963876951","https://openalex.org/W3000587118","https://openalex.org/W3016665419","https://openalex.org/W3085547564","https://openalex.org/W3189454102","https://openalex.org/W6675377830","https://openalex.org/W6680216138"],"related_works":["https://openalex.org/W4233568029","https://openalex.org/W2967774773","https://openalex.org/W3166075233","https://openalex.org/W2373556961","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0,120],"application":[1],"of":[2,27,39,57,134],"mechanical":[3],"equipment":[4],"in":[5],"manufacturing":[6],"is":[7,42,59],"becoming":[8],"more":[9,11],"and":[10,16,25,36,46,72,82,137,157],"complicated":[12],"with":[13,68,88,145],"technology":[14],"development":[15],"adoption.":[17],"In":[18],"order":[19],"to":[20,34,77,116,163],"keep":[21],"the":[22,28,32,37,53,79,94,100,131],"high":[23],"reliability":[24],"stability":[26],"production":[29],"line,":[30],"reducing":[31],"downtime":[33],"repair":[35],"frequency":[38],"routine":[40],"maintenance":[41,166],"necessary.":[43],"Since":[44],"machine":[45],"components\u2019":[47],"degradations":[48],"are":[49],"inevitable,":[50],"accurately":[51],"estimating":[52],"remaining":[54,84],"useful":[55,85],"life":[56,86],"them":[58],"crucial.":[60],"We":[61,98],"propose":[62],"an":[63,152],"integrated":[64],"deep":[65,89],"learning":[66],"approach":[67,162],"convolutional":[69],"neural":[70],"networks":[71,76],"long":[73],"short-term":[74],"memory":[75],"learn":[78],"latent":[80],"features":[81],"estimate":[83],"value":[87],"survival":[90],"model":[91,128],"based":[92],"on":[93],"discrete":[95],"Weibull":[96],"distribution.":[97],"conduct":[99],"turbofan":[101],"engine":[102],"degradation":[103,132],"simulation":[104],"dataset":[105,112],"from":[106],"Commercial":[107],"Modular":[108],"Aero-Propulsion":[109],"System":[110],"Simulation":[111],"provided":[113],"by":[114],"NASA":[115],"validate":[117],"our":[118,126],"approach.":[119],"improved":[121],"results":[122],"have":[123],"proven":[124],"that":[125],"proposed":[127],"can":[129],"capture":[130],"trend":[133],"a":[135,159],"fault":[136],"has":[138],"superior":[139],"performance":[140],"under":[141],"complex":[142],"conditions":[143],"compared":[144],"existing":[146],"state-of-the-art":[147],"methods.":[148],"Our":[149],"study":[150],"provides":[151],"efficient":[153],"feature":[154],"extraction":[155],"scheme":[156],"offers":[158],"promising":[160],"prediction":[161],"make":[164],"better":[165],"strategies.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}