{"id":"https://openalex.org/W2512344339","doi":"https://doi.org/10.1007/s10489-016-0829-4","title":"Machine learning-based methods for TTF estimation with application to APU prognostics","display_name":"Machine learning-based methods for TTF estimation with application to APU prognostics","publication_year":2016,"publication_date":"2016-08-16","ids":{"openalex":"https://openalex.org/W2512344339","doi":"https://doi.org/10.1007/s10489-016-0829-4","mag":"2512344339"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-016-0829-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-016-0829-4","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5103207845","display_name":"Yang Chun-sheng","orcid":"https://orcid.org/0000-0002-9404-2003"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Chunsheng Yang","raw_affiliation_strings":["National Research Council Canada, Ottawa, Ontario, K1A 0R6, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council Canada, Ottawa, Ontario, K1A 0R6, Canada","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042654112","display_name":"Sylvain L\u00e9tourneau","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sylvain Letourneau","raw_affiliation_strings":["National Research Council Canada, Ottawa, Ontario, K1A 0R6, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council Canada, Ottawa, Ontario, K1A 0R6, Canada","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454052","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-0750-1030"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Carleton University, Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039051165","display_name":"Qiangqiang Cheng","orcid":"https://orcid.org/0000-0003-2151-8821"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangqiang Cheng","raw_affiliation_strings":["Nanchang University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111673780","display_name":"Yu-Bin Yang","orcid":"https://orcid.org/0000-0002-3764-1114"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubin Yang","raw_affiliation_strings":["The State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103207845"],"corresponding_institution_ids":["https://openalex.org/I4210159778"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":null,"fwci":6.4882,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.95985892,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"46","issue":"1","first_page":"227","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9998000264167786,"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":0.9998000264167786,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9955999851226807,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.954796314239502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.821442723274231},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7309045791625977},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6849009394645691},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6736189126968384},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"Predictive maintenance","score":0.6153621673583984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.567646861076355},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4865535795688629},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4536454677581787},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.45287004113197327},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.4347802400588989},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.24600479006767273}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.954796314239502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.821442723274231},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7309045791625977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6849009394645691},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6736189126968384},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.6153621673583984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.567646861076355},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4865535795688629},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4536454677581787},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.45287004113197327},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.4347802400588989},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.24600479006767273},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10489-016-0829-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-016-0829-4","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:cisti-icist.nrc-cnrc.ca:cistinparc:23000669","is_oa":false,"landing_page_url":"https://nrc-publications.canada.ca/eng/view/object/?id=eab141f5-639f-4899-a61d-51e478e9df0e","pdf_url":null,"source":{"id":"https://openalex.org/S7407055245","display_name":"NPARC","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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1560107318","https://openalex.org/W1583700199","https://openalex.org/W1588221618","https://openalex.org/W1605688901","https://openalex.org/W1823907093","https://openalex.org/W1990322717","https://openalex.org/W2000999339","https://openalex.org/W2023294425","https://openalex.org/W2036541533","https://openalex.org/W2039207944","https://openalex.org/W2073100474","https://openalex.org/W2089305186","https://openalex.org/W2094305437","https://openalex.org/W2099349620","https://openalex.org/W2104600154","https://openalex.org/W2114106396","https://openalex.org/W2117697616","https://openalex.org/W2119003537","https://openalex.org/W2123504579","https://openalex.org/W2127103870","https://openalex.org/W2131879237","https://openalex.org/W2142933466","https://openalex.org/W2157883849","https://openalex.org/W2159810316","https://openalex.org/W2164917791","https://openalex.org/W2176555963","https://openalex.org/W3105441930","https://openalex.org/W4250602051","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3045935064","https://openalex.org/W2028839796","https://openalex.org/W2947125308","https://openalex.org/W4321486786","https://openalex.org/W2908973203","https://openalex.org/W4307290295","https://openalex.org/W4385520395","https://openalex.org/W2586143229","https://openalex.org/W3160450996","https://openalex.org/W2786121524"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
