{"id":"https://openalex.org/W2887044785","doi":"https://doi.org/10.1155/2018/3813029","title":"Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self\u2010Learning","display_name":"Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self\u2010Learning","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2887044785","doi":"https://doi.org/10.1155/2018/3813029","mag":"2887044785"},"language":"en","primary_location":{"id":"doi:10.1155/2018/3813029","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/3813029","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/3813029.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/complexity/2018/3813029.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101980392","display_name":"Jian Ma","orcid":"https://orcid.org/0000-0001-5932-469X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Ma","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China","Science & Technology on Reliability and Environmental Engineering Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Science & Technology on Reliability and Environmental Engineering Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101825178","display_name":"Hua Su","orcid":"https://orcid.org/0000-0002-9195-9537"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Su","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China","Science & Technology on Reliability and Environmental Engineering Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Science & Technology on Reliability and Environmental Engineering Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016347079","display_name":"Wanlin Zhao","orcid":"https://orcid.org/0000-0001-9656-0069"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wan-lin Zhao","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China","Science & Technology on Reliability and Environmental Engineering Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Science & Technology on Reliability and Environmental Engineering Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395438","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0001-8259-6650"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Liu","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China","Science & Technology on Reliability and Environmental Engineering Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Science & Technology on Reliability and Environmental Engineering Laboratory, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100395438"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":7.6768,"has_fulltext":true,"cited_by_count":89,"citation_normalized_percentile":{"value":0.97762275,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9945999979972839,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9940999746322632,"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/prognostics","display_name":"Prognostics","score":0.9439129829406738},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8696411848068237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6646988987922668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.61797696352005},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5602397322654724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5109125971794128},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48178717494010925},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.474514901638031},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47429946064949036},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45968103408813477},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4274165630340576},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.382206529378891},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3549748659133911},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23606979846954346}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.9439129829406738},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8696411848068237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6646988987922668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.61797696352005},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5602397322654724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5109125971794128},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48178717494010925},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.474514901638031},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47429946064949036},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45968103408813477},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4274165630340576},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.382206529378891},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3549748659133911},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23606979846954346},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2018/3813029","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/3813029","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/3813029.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:3813029","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2018/3813029.xml","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"},{"id":"pmh:oai:doaj.org/article:8a88ded2f02c48c497d55dd9604f8aae","is_oa":true,"landing_page_url":"https://doaj.org/article/8a88ded2f02c48c497d55dd9604f8aae","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2018 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/3813029","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/3813029","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/3813029.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121741749","display_name":null,"funder_award_id":"YWF-18-BJ-Y-159","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1870921636","display_name":null,"funder_award_id":"20163351018","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2378549810","display_name":null,"funder_award_id":"51605014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2560648409","display_name":null,"funder_award_id":"and 51","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2622137223","display_name":null,"funder_award_id":"51105019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3614827976","display_name":null,"funder_award_id":"51105019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3760584493","display_name":null,"funder_award_id":"Z132013B002","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4077888433","display_name":null,"funder_award_id":"51575021","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4627657047","display_name":null,"funder_award_id":"51605014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G551928298","display_name":null,"funder_award_id":"51575021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6430125131","display_name":null,"funder_award_id":"Z132013B002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329330","display_name":"Aviation Science Fund","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2887044785.pdf","grobid_xml":"https://content.openalex.org/works/W2887044785.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1491965087","https://openalex.org/W1579040661","https://openalex.org/W1964940259","https://openalex.org/W2005485844","https://openalex.org/W2025768430","https://openalex.org/W2028362538","https://openalex.org/W2030678516","https://openalex.org/W2031329301","https://openalex.org/W2033201429","https://openalex.org/W2033800551","https://openalex.org/W2035134571","https://openalex.org/W2036161627","https://openalex.org/W2043739261","https://openalex.org/W2045186954","https://openalex.org/W2055873761","https://openalex.org/W2058817067","https://openalex.org/W2064323378","https://openalex.org/W2069959554","https://openalex.org/W2076063813","https://openalex.org/W2094946706","https://openalex.org/W2096947102","https://openalex.org/W2097998348","https://openalex.org/W2100495367","https://openalex.org/W2102605133","https://openalex.org/W2104600154","https://openalex.org/W2110798204","https://openalex.org/W2113862810","https://openalex.org/W2120841219","https://openalex.org/W2136922672","https://openalex.org/W2143612262","https://openalex.org/W2144835948","https://openalex.org/W2149956719","https://openalex.org/W2152270473","https://openalex.org/W2157883849","https://openalex.org/W2164122462","https://openalex.org/W2194775991","https://openalex.org/W2199810579","https://openalex.org/W2241542347","https://openalex.org/W2324044936","https://openalex.org/W2340811421","https://openalex.org/W2395342389","https://openalex.org/W2472996304","https://openalex.org/W2493480577","https://openalex.org/W2511774531","https://openalex.org/W2522226587","https://openalex.org/W2530982695","https://openalex.org/W2546537777","https://openalex.org/W2781862948","https://openalex.org/W4205947740","https://openalex.org/W4249919990","https://openalex.org/W6674385629","https://openalex.org/W6737658843"],"related_works":["https://openalex.org/W2310476526","https://openalex.org/W3213192587","https://openalex.org/W2144291498","https://openalex.org/W2535730979","https://openalex.org/W2030958945","https://openalex.org/W2370073012","https://openalex.org/W4386567722","https://openalex.org/W2168646784","https://openalex.org/W2669956259","https://openalex.org/W4249005693"],"abstract_inverted_index":{"Because":[0],"they":[1],"are":[2,94,242],"key":[3,129],"components":[4],"of":[5,13,25,80,86,137,156,163,176,229,264,274,277,281,295],"aircraft,":[6],"improving":[7],"the":[8,23,51,54,60,78,98,105,111,135,174,205,222,227,230,236,262,265,279,293,296],"safety,":[9],"reliability":[10],"and":[11,21,33,44,71,73,186,208,239],"economy":[12],"engines":[14],"is":[15,47,59,89,127,193,218,255,289],"crucial.":[16],"To":[17,140],"ensure":[18],"flight":[19],"safety":[20],"reduce":[22],"cost":[24],"maintenance":[26],"during":[27],"aircraft":[28,68,115,178,206,267,283],"engine":[29,69,179,207,268,284],"operation,":[30],"a":[31,128,168,182,286],"prognostics":[32],"health":[34,42],"management":[35],"system":[36],"that":[37,132],"focuses":[38],"on":[39,77,181,204,245],"fault":[40],"diagnosis,":[41],"assessment,":[43],"life":[45,57],"prediction":[46,240,270],"introduced":[48,256],"to":[49,107,152,172,195,209,220,260,291],"solve":[50,141],"problems.":[52],"Predicting":[53],"remaining":[55,223],"useful":[56,118,224],"(RUL)":[58],"most":[61,249],"important":[62],"information":[63,158],"for":[64,101,160],"making":[65],"decisions":[66],"about":[67],"operation":[70],"maintenance,":[72],"it":[74],"relies":[75],"largely":[76],"selection":[79],"performance":[81,198],"degradation":[82,119,138,199],"features.":[83,164],"The":[84,189,251],"choice":[85],"such":[87],"features":[88,120,200,212],"highly":[90],"significant,":[91],"but":[92],"there":[93],"some":[95],"weaknesses":[96],"in":[97,149,248,257],"current":[99],"algorithm":[100],"RUL":[102,175,269,280],"prediction,":[103],"notably,":[104],"inability":[106],"obtain":[108],"tendencies":[109],"from":[110,121,201],"data.":[112],"Especially":[113],"with":[114,124,285],"engines,":[116],"extracting":[117],"multisensor":[122],"data":[123],"complex":[125],"correlations":[126],"technical":[130],"problem":[131],"has":[133,146],"hindered":[134],"implementation":[136],"assessment.":[139],"these":[142],"problems,":[143],"deep":[144,169,231],"learning":[145,170],"been":[147],"proposed":[148,266,297],"recent":[150],"years":[151],"exploit":[153],"multiple":[154,202,211],"layers":[155],"nonlinear":[157],"processing":[159],"unsupervised":[161],"self\u2010learning":[162],"This":[165],"paper":[166,259],"presents":[167],"approach":[171],"predict":[173,221],"an":[177,282],"based":[180,244],"stacked":[183,190],"sparse":[184,191],"autoencoder":[185,192],"logistic":[187],"regression.":[188],"used":[194,219],"automatically":[196],"extract":[197],"sensors":[203],"fuse":[210],"through":[213],"multilayer":[214],"self\u2010learning.":[215],"Logistic":[216],"regression":[217],"life.":[225],"However,":[226],"hyperparameters":[228,263],"learning,":[232],"which":[233],"significantly":[234],"impact":[235],"feature":[237],"extraction":[238],"performance,":[241],"determined":[243],"expert":[246],"experience":[247],"cases.":[250],"grid":[252],"search":[253],"method":[254,276],"this":[258,275],"optimize":[261],"model.":[271],"An":[272],"application":[273],"predicting":[278],"benchmark":[287],"dataset":[288],"employed":[290],"demonstrate":[292],"effectiveness":[294],"approach.":[298]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":11}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
