{"id":"https://openalex.org/W2003359560","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891678","title":"Aeroengine prognosis through genetic distal learning applied to uncertain Engine Health Monitoring data","display_name":"Aeroengine prognosis through genetic distal learning applied to uncertain Engine Health Monitoring data","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2003359560","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891678","mag":"2003359560"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2014.6891678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5059255743","display_name":"\u00c1lvaro Mart\u00ednez","orcid":"https://orcid.org/0000-0002-0634-0474"},"institutions":[{"id":"https://openalex.org/I130513772","display_name":"Rolls-Royce (Germany)","ror":"https://ror.org/05jeza980","country_code":"DE","type":"company","lineage":["https://openalex.org/I130513772","https://openalex.org/I866009140"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Alvaro Martinez","raw_affiliation_strings":["Rolls-Royce Deutschland Ltd & Co KG, Blankenfelde-Mahlow, Germany","Rolls-Royce Deutschland Ltd & CO KG, Blankenfelde-Mahlow, Germany"],"affiliations":[{"raw_affiliation_string":"Rolls-Royce Deutschland Ltd & Co KG, Blankenfelde-Mahlow, Germany","institution_ids":["https://openalex.org/I130513772"]},{"raw_affiliation_string":"Rolls-Royce Deutschland Ltd & CO KG, Blankenfelde-Mahlow, Germany","institution_ids":["https://openalex.org/I130513772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007997944","display_name":"Luciano S\u00e1nchez","orcid":"https://orcid.org/0000-0002-2446-1915"},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luciano Sanchez","raw_affiliation_strings":["Universidad de Oviedo, Oviedo, Asturias, ES","Universidad de Oviedo, Gijo\u0301n, Asturias, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Oviedo, Oviedo, Asturias, ES","institution_ids":["https://openalex.org/I165339363"]},{"raw_affiliation_string":"Universidad de Oviedo, Gijo\u0301n, Asturias, Spain","institution_ids":["https://openalex.org/I165339363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070267406","display_name":"In\u00e9s Couso","orcid":"https://orcid.org/0000-0002-1675-6203"},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ines Couso","raw_affiliation_strings":["Universidad de Oviedo, Oviedo, Asturias, ES","Universidad de Oviedo, Gijo\u0301n, Asturias, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Oviedo, Oviedo, Asturias, ES","institution_ids":["https://openalex.org/I165339363"]},{"raw_affiliation_string":"Universidad de Oviedo, Gijo\u0301n, Asturias, Spain","institution_ids":["https://openalex.org/I165339363"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059255743"],"corresponding_institution_ids":["https://openalex.org/I130513772"],"apc_list":null,"apc_paid":null,"fwci":1.2173,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81873789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"1945","last_page":"1952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9890999794006348,"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":0.9890999794006348,"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":0.9861000180244446,"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"}},{"id":"https://openalex.org/T12759","display_name":"Vehicle Noise and Vibration Control","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/robustness","display_name":"Robustness (evolution)","score":0.7653310298919678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5550141334533691},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5130735635757446},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.4960518777370453},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4442351162433624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33831942081451416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33307725191116333},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3015819489955902},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.08080872893333435}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7653310298919678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5550141334533691},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5130735635757446},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.4960518777370453},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4442351162433624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33831942081451416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33307725191116333},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3015819489955902},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.08080872893333435},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2014.6891678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1969394306","https://openalex.org/W1995017139","https://openalex.org/W2009643383","https://openalex.org/W2024252541","https://openalex.org/W2043132480","https://openalex.org/W2043968544","https://openalex.org/W2082881611","https://openalex.org/W2085220984","https://openalex.org/W2085363876","https://openalex.org/W2097460058","https://openalex.org/W2159701103","https://openalex.org/W2165715343","https://openalex.org/W2180600869","https://openalex.org/W2286699414","https://openalex.org/W2399481433","https://openalex.org/W2911964244","https://openalex.org/W6656623643"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4312219546","https://openalex.org/W374694393","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664"],"abstract_inverted_index":{"Genetic":[0],"Fuzzy":[1],"Systems":[2],"have":[3,79],"been":[4],"successfully":[5],"applied":[6],"to":[7,19,36,110,114,149],"assess":[8,102],"Engine":[9],"Health":[10],"Monitoring":[11],"(EHM)":[12],"data":[13],"from":[14],"aeroengines,":[15],"not":[16,101],"only":[17,63],"due":[18],"their":[20,34],"robustness":[21],"towards":[22],"noisy":[23],"gas":[24],"path":[25],"measurements":[26],"and":[27],"engine-to-engine":[28],"variability,":[29],"but":[30],"also":[31,78],"because":[32],"of":[33,46,49,59,91,124,134,142,146,163],"capability":[35],"produce":[37],"human-readable":[38],"expressions.":[39],"These":[40],"techniques":[41,98],"can":[42,99],"detect":[43],"the":[44,60,92,95,121,132,135,143,147],"presence":[45],"certain":[47],"types":[48],"abnormal":[50],"events":[51],"or":[52],"specific":[53],"engine":[54,70,148],"conditions,":[55],"where":[56],"a":[57,80,116,139,150,160],"combination":[58],"EHM":[61,93],"signals":[62],"appears":[64],"when":[65],"these":[66],"occur.":[67],"However,":[68],"an":[69,125],"that":[71,118,131],"repeatedly":[72],"operates":[73],"under":[74],"unfavourable":[75],"conditions":[76],"will":[77,128],"reduced":[81],"life.":[82],"Smooth":[83],"deteriorations":[84],"do":[85],"no":[86],"manifest":[87],"themselves":[88],"as":[89],"combinations":[90],"signals,":[94],"current":[96],"existing":[97],"therefore":[100],"these.":[103],"In":[104],"this":[105],"paper":[106],"it":[107],"is":[108,138],"proposed":[109],"use":[111],"distal":[112],"learning":[113],"build":[115],"model":[117],"indirectly":[119],"identifies":[120],"deterioration":[122],"rate":[123,137],"aeroengine.":[126],"It":[127],"be":[129],"shown":[130],"integral":[133],"modelled":[136],"prognostic":[140],"indicator":[141],"remaining":[144],"life":[145],"selected":[151],"end":[152],"condition.":[153],"The":[154],"results":[155],"are":[156],"subsequently":[157],"tested":[158],"on":[159],"representative":[161],"sample":[162],"aeroengine":[164],"data.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
