{"id":"https://openalex.org/W4312659336","doi":"https://doi.org/10.1109/ccta49430.2022.9966098","title":"Data Driven based Modeling and Fault Detection for the MATLAB/Simulink Turbofan Engine: An ARX Model Approach","display_name":"Data Driven based Modeling and Fault Detection for the MATLAB/Simulink Turbofan Engine: An ARX Model Approach","publication_year":2022,"publication_date":"2022-08-23","ids":{"openalex":"https://openalex.org/W4312659336","doi":"https://doi.org/10.1109/ccta49430.2022.9966098"},"language":"en","primary_location":{"id":"doi:10.1109/ccta49430.2022.9966098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta49430.2022.9966098","pdf_url":null,"source":{"id":"https://openalex.org/S4363608038","display_name":"2022 IEEE Conference on Control Technology and Applications (CCTA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103485441","display_name":"Chao-Chun Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Chun Peng","raw_affiliation_strings":["National Cheng Kung University,Department of Aeronautics and Astronautics,Tainan,Taiwan","Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Aeronautics and Astronautics,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002044899","display_name":"Yi-Ho Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Ho Cheng","raw_affiliation_strings":["National Cheng Kung University,Department of Aeronautics and Astronautics,Tainan,Taiwan","Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Aeronautics and Astronautics,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"498","last_page":"503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12810","display_name":"Real-time simulation and control systems","score":0.9959999918937683,"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/T12810","display_name":"Real-time simulation and control systems","score":0.9959999918937683,"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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11236","display_name":"Control Systems and Identification","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/turbofan","display_name":"Turbofan","score":0.7114966511726379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7098879814147949},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6421364545822144},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.6289461851119995},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5890119075775146},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4966900944709778},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.49071013927459717},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.452667772769928},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.44959110021591187},{"id":"https://openalex.org/keywords/system-model","display_name":"System model","score":0.44828617572784424},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.44675445556640625},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4436708092689514},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.439456969499588},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.41527512669563293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2229328453540802},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17653197050094604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11895948648452759},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08370658755302429}],"concepts":[{"id":"https://openalex.org/C110050840","wikidata":"https://www.wikidata.org/wiki/Q654051","display_name":"Turbofan","level":2,"score":0.7114966511726379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098879814147949},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6421364545822144},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.6289461851119995},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5890119075775146},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4966900944709778},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.49071013927459717},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.452667772769928},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.44959110021591187},{"id":"https://openalex.org/C107645828","wikidata":"https://www.wikidata.org/wiki/Q12070446","display_name":"System model","level":2,"score":0.44828617572784424},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.44675445556640625},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4436708092689514},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.439456969499588},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.41527512669563293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2229328453540802},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17653197050094604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11895948648452759},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08370658755302429},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccta49430.2022.9966098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta49430.2022.9966098","pdf_url":null,"source":{"id":"https://openalex.org/S4363608038","display_name":"2022 IEEE Conference on Control Technology and Applications (CCTA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4262096979","display_name":null,"funder_award_id":"MOST 110-2221-E-006-095","funder_id":"https://openalex.org/F4320309618","funder_display_name":"Ministry of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2020657791","https://openalex.org/W2032572871","https://openalex.org/W2923598712","https://openalex.org/W2973120712","https://openalex.org/W2987317643","https://openalex.org/W3010293105","https://openalex.org/W3091451186","https://openalex.org/W3157483273","https://openalex.org/W3167551172","https://openalex.org/W3171866658","https://openalex.org/W6794047743"],"related_works":["https://openalex.org/W4287092128","https://openalex.org/W4389482487","https://openalex.org/W2089445040","https://openalex.org/W2970874862","https://openalex.org/W1993890901","https://openalex.org/W3196865791","https://openalex.org/W4389230500","https://openalex.org/W2999979010","https://openalex.org/W4309833761","https://openalex.org/W2061811378"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"digital":[3,103,136],"twin-based":[4],"techniques":[5],"have":[6,117],"been":[7],"applied":[8],"in":[9,99],"many":[10],"different":[11],"engineering":[12],"fields,":[13],"including":[14],"simulation,":[15],"model":[16,109],"design,":[17],"performance":[18],"analysis,":[19],"system":[20,97,124,134],"prognosis,":[21],"and":[22,33,89,135],"so":[23],"on.":[24],"However,":[25],"for":[26,96],"complex":[27],"systems,":[28],"the":[29,46,55,73,108,114,123,129,132,142,157],"associated":[30,56],"physical":[31],"equations":[32],"dynamics":[34],"are":[35,59,94],"sometimes":[36],"difficult":[37],"to":[38,101],"be":[39],"constructed":[40],"using":[41,141],"domain":[42],"knowledge-based":[43],"derivations.":[44],"On":[45],"contrary,":[47],"data-driven-based":[48],"modeling":[49],"can":[50,106,160],"skip":[51],"this":[52,64],"challenge":[53],"providing":[54],"input/output":[57],"data":[58],"available.":[60],"As":[61],"a":[62,67,139,149],"result,":[63],"paper":[65],"presents":[66],"modified":[68],"data-driven":[69,115],"method":[70,159],"based":[71,127],"on":[72,128],"AutoRegressive":[74],"with":[75,84],"eXogenous":[76],"input":[77],"(ARX).":[78],"The":[79,120],"Observer/Kalman":[80],"filter":[81],"identification":[82,98],"(OKID)":[83],"eigensystem":[85],"realization":[86],"algorithm":[87],"(ERA)":[88],"fast":[90],"orthogonal":[91],"search":[92],"(FOS)":[93],"used":[95],"order":[100],"create":[102],"twins":[104],"that":[105,156],"consider":[107],"stability,":[110],"which":[111],"most":[112],"of":[113,122],"methods":[116],"lack":[118],"of.":[119],"condition":[121],"is":[125,146],"determined":[126],"difference":[130],"between":[131],"real":[133],"twins.":[137],"Finally,":[138],"simulation":[140],"MATLAB/SIMULINK":[143],"Turbofan":[144],"Engine":[145],"taken":[147],"as":[148],"tested":[150],"black":[151],"box.":[152],"Simulation":[153],"results":[154],"prove":[155],"proposed":[158],"identify":[161],"faulty":[162],"condition.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
