{"id":"https://openalex.org/W4313855839","doi":"https://doi.org/10.1109/access.2023.3235619","title":"An Investigation of Exhaust Gas Temperature of Aircraft Engine Using LSTM","display_name":"An Investigation of Exhaust Gas Temperature of Aircraft Engine Using LSTM","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313855839","doi":"https://doi.org/10.1109/access.2023.3235619"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3235619","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3235619","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10012388.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10012388.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101397104","display_name":"Shafi Ullah","orcid":"https://orcid.org/0000-0002-5807-4921"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shafi Ullah","raw_affiliation_strings":["Department of Traffic Information Engineering and Control, Chang&#x2019;an University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-5807-4921","affiliations":[{"raw_affiliation_string":"Department of Traffic Information Engineering and Control, Chang&#x2019;an University, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653617","display_name":"Shuguang Li","orcid":"https://orcid.org/0000-0002-6746-8885"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuguang Li","raw_affiliation_strings":["Department of Traffic Information Engineering and Control, Chang&#x2019;an University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Traffic Information Engineering and Control, Chang&#x2019;an University, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046540583","display_name":"Khalid Khan","orcid":"https://orcid.org/0000-0003-0882-0241"},"institutions":[{"id":"https://openalex.org/I90610274","display_name":"University of Engineering and Technology Peshawar","ror":"https://ror.org/00p034093","country_code":"PK","type":"education","lineage":["https://openalex.org/I90610274"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Khalid Khan","raw_affiliation_strings":["Department of Materials for Energy Storage and Conversion, Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar, Peshawar, Pakistan"],"raw_orcid":"https://orcid.org/0000-0003-0882-0241","affiliations":[{"raw_affiliation_string":"Department of Materials for Energy Storage and Conversion, Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology Peshawar, Peshawar, Pakistan","institution_ids":["https://openalex.org/I90610274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733891","display_name":"Shahbaz Khan","orcid":"https://orcid.org/0000-0001-7715-0603"},"institutions":[{"id":"https://openalex.org/I335365548","display_name":"University of Swat","ror":"https://ror.org/01q9mqz67","country_code":"PK","type":"education","lineage":["https://openalex.org/I335365548"]},{"id":"https://openalex.org/I90610274","display_name":"University of Engineering and Technology Peshawar","ror":"https://ror.org/00p034093","country_code":"PK","type":"education","lineage":["https://openalex.org/I90610274"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Shahbaz Khan","raw_affiliation_strings":["Department of Engineering Management, University of Engineering and Applied Sciences, Swat, Swat, Pakistan","Mechatronics Department, University of Engineering and Technology Peshawar, Peshawar, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Management, University of Engineering and Applied Sciences, Swat, Swat, Pakistan","institution_ids":["https://openalex.org/I335365548"]},{"raw_affiliation_string":"Mechatronics Department, University of Engineering and Technology Peshawar, Peshawar, Pakistan","institution_ids":["https://openalex.org/I90610274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011875207","display_name":"Ilyas Khan","orcid":"https://orcid.org/0000-0002-2056-9371"},"institutions":[{"id":"https://openalex.org/I195631090","display_name":"Majmaah University","ror":"https://ror.org/01mcrnj60","country_code":"SA","type":"education","lineage":["https://openalex.org/I195631090"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ilyas Khan","raw_affiliation_strings":["Department of Mathematics, College of Science Al-Zulfi, Majmaah University, Al Majma&#x2019;ah, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, College of Science Al-Zulfi, Majmaah University, Al Majma&#x2019;ah, Saudi Arabia","institution_ids":["https://openalex.org/I195631090"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080972827","display_name":"Sayed M. Eldin","orcid":"https://orcid.org/0000-0002-0229-0705"},"institutions":[{"id":"https://openalex.org/I186217134","display_name":"Future University in Egypt","ror":"https://ror.org/03s8c2x09","country_code":"EG","type":"education","lineage":["https://openalex.org/I186217134"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Sayed M. Eldin","raw_affiliation_strings":["Center of Research, Faculty of Engineering, Future University in Egypt, New Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Research, Faculty of Engineering, Future University in Egypt, New Cairo, Egypt","institution_ids":["https://openalex.org/I186217134"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.4744,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.9500767,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"5168","last_page":"5177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.996399998664856,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.996399998664856,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9878000020980835,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/turbofan","display_name":"Turbofan","score":0.8900601267814636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7486757636070251},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5344604253768921},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.47027045488357544},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.46195176243782043},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46091821789741516},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.45853906869888306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4581235647201538},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4140978157520294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38573184609413147},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34095627069473267},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.21004021167755127},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13092386722564697}],"concepts":[{"id":"https://openalex.org/C110050840","wikidata":"https://www.wikidata.org/wiki/Q654051","display_name":"Turbofan","level":2,"score":0.8900601267814636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7486757636070251},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5344604253768921},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47027045488357544},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.46195176243782043},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46091821789741516},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.45853906869888306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4581235647201538},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4140978157520294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38573184609413147},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34095627069473267},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.21004021167755127},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13092386722564697},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3235619","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3235619","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10012388.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:300682700f7640c4ab4f400208b70ee2","is_oa":true,"landing_page_url":"https://doaj.org/article/300682700f7640c4ab4f400208b70ee2","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 5168-5177 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3235619","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3235619","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10012388.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313855839.pdf","grobid_xml":"https://content.openalex.org/works/W4313855839.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W981603413","https://openalex.org/W1490268934","https://openalex.org/W1547632484","https://openalex.org/W1764517434","https://openalex.org/W1815497097","https://openalex.org/W1905882502","https://openalex.org/W2026430219","https://openalex.org/W2032882128","https://openalex.org/W2033430622","https://openalex.org/W2042311265","https://openalex.org/W2064675550","https://openalex.org/W2080524224","https://openalex.org/W2103563739","https://openalex.org/W2160815625","https://openalex.org/W2167442255","https://openalex.org/W2333485386","https://openalex.org/W2558869916","https://openalex.org/W2582544844","https://openalex.org/W2587090225","https://openalex.org/W2593657034","https://openalex.org/W2617137613","https://openalex.org/W2783649240","https://openalex.org/W2787999836","https://openalex.org/W2792737852","https://openalex.org/W2793062918","https://openalex.org/W2805330622","https://openalex.org/W2889054295","https://openalex.org/W2898426468","https://openalex.org/W2914195433","https://openalex.org/W2976132861","https://openalex.org/W3035752313","https://openalex.org/W3170305376","https://openalex.org/W3189254468","https://openalex.org/W4248891565","https://openalex.org/W4289768936","https://openalex.org/W6676780147","https://openalex.org/W6691642504"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4380086463","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W3164822677","https://openalex.org/W2795261237"],"abstract_inverted_index":{"A":[0],"significant":[1,150],"obstacle":[2],"to":[3,63,85,110,125,152],"creating":[4],"efficient":[5],"machine":[6],"health":[7,101],"monitoring":[8,102],"systems":[9,24],"is":[10,95,108,171],"estimating":[11],"performance":[12],"degradation":[13],"in":[14,91,97,136,156],"dynamic":[15,58],"systems,":[16],"like":[17],"aero":[18],"plane":[19],"engines.":[20],"In":[21,61],"exceedingly":[22],"complex":[23],"with":[25],"many":[26],"components,":[27],"states,":[28],"and":[29,33,67,170],"parameters,":[30],"conventional":[31],"model-based":[32],"data-driven":[34],"methods":[35,44],"fall":[36],"short":[37],"of":[38,104,114,121,144],"producing":[39],"satisfactory":[40],"results.":[41],"While":[42],"traditional":[43],"had":[45],"several":[46],"drawbacks,":[47],"deep":[48],"learning":[49,168],"has":[50,165],"emerged":[51],"as":[52,130],"a":[53,71,119,131,149,166],"viable":[54],"computational":[55],"tool":[56],"for":[57],"system":[59,65],"prediction.":[60],"order":[62],"track":[64],"deterioration":[66],"estimate":[68],"the":[69,76,87,112,115,127,134,137,145,154,157,162],"EGT,":[70],"novel":[72],"technique":[73],"based":[74],"on":[75],"Long":[77],"Short-Term":[78],"Memory":[79],"(LSTM)":[80],"network,":[81],"(an":[82],"architecture":[83],"created":[84],"find":[86],"hidden":[88,90],"patterns":[89],"time":[92,159],"series":[93],"data)":[94],"provided":[96],"this":[98,122],"research.":[99],"The":[100],"information":[103],"aircraft":[105],"turbofan":[106],"engines":[107],"used":[109],"assess":[111],"effectiveness":[113],"proposed":[116,163],"strategy.":[117],"As":[118],"result":[120],"network\u2019s":[123],"ability":[124,151],"recognize":[126],"input":[128],"data":[129],"real-time":[132],"series,":[133],"output":[135,155],"following":[138,158],"step":[139],"can":[140],"be":[141],"predicted.":[142],"Results":[143],"suggested":[146],"study":[147],"show":[148],"anticipate":[153],"step.":[160],"Additionally,":[161],"model":[164],"shorter":[167],"curve":[169],"more":[172],"accurate.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
