{"id":"https://openalex.org/W4210696755","doi":"https://doi.org/10.1109/safeprocess52771.2021.9693686","title":"Exhaust Temperature Margin Prediction Based on Time Series Reconstruction","display_name":"Exhaust Temperature Margin Prediction Based on Time Series Reconstruction","publication_year":2021,"publication_date":"2021-12-17","ids":{"openalex":"https://openalex.org/W4210696755","doi":"https://doi.org/10.1109/safeprocess52771.2021.9693686"},"language":"en","primary_location":{"id":"doi:10.1109/safeprocess52771.2021.9693686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess52771.2021.9693686","pdf_url":null,"source":{"id":"https://openalex.org/S4363605570","display_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","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":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","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/A5101726284","display_name":"Yufeng Long","orcid":"https://orcid.org/0000-0001-8477-3884"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yufeng Long","raw_affiliation_strings":["Naval Aviation University,Yantai,China","Naval Aviation University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Naval Aviation University,Yantai,China","institution_ids":[]},{"raw_affiliation_string":"Naval Aviation University, Yantai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112114064","display_name":"Xianjun Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianjun Shi","raw_affiliation_strings":["Naval Aviation University,Yantai,China","Naval Aviation University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Naval Aviation University,Yantai,China","institution_ids":[]},{"raw_affiliation_string":"Naval Aviation University, Yantai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103170488","display_name":"Yu Yang","orcid":"https://orcid.org/0000-0003-1168-2716"},"institutions":[{"id":"https://openalex.org/I4210116929","display_name":"82th Hospital of Pla","ror":"https://ror.org/02ddfy797","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210116929"]},{"id":"https://openalex.org/I4210108244","display_name":"Yantai Institute of Coastal Zone Research","ror":"https://ror.org/01pab2602","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108244"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Yang","raw_affiliation_strings":["The 92154th Unit of PLA,Yantai,China","The 92154th Unit of PLA, Yantai, China"],"affiliations":[{"raw_affiliation_string":"The 92154th Unit of PLA,Yantai,China","institution_ids":["https://openalex.org/I4210116929"]},{"raw_affiliation_string":"The 92154th Unit of PLA, Yantai, China","institution_ids":["https://openalex.org/I4210108244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086114508","display_name":"Yufeng Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yufeng Qin","raw_affiliation_strings":["Naval Aviation University,Yantai,China","Naval Aviation University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Naval Aviation University,Yantai,China","institution_ids":[]},{"raw_affiliation_string":"Naval Aviation University, Yantai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088983347","display_name":"Jiapeng Lv","orcid":"https://orcid.org/0000-0002-7162-1686"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiapeng Lv","raw_affiliation_strings":["Naval Aviation University,Yantai,China","Naval Aviation University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Naval Aviation University,Yantai,China","institution_ids":[]},{"raw_affiliation_string":"Naval Aviation University, Yantai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100685752","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-9745-664X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Naval Aviation University,Yantai,China","Naval Aviation University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Naval Aviation University,Yantai,China","institution_ids":[]},{"raw_affiliation_string":"Naval Aviation University, Yantai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101726284"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4363,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5380553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9943000078201294,"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":0.9943000078201294,"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/T10117","display_name":"Advanced Combustion Engine Technologies","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/1507","display_name":"Fluid Flow and Transfer Processes"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13928","display_name":"Advanced Sensor Technologies Research","score":0.9412000179290771,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/time-series","display_name":"Time series","score":0.6542394161224365},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6413776278495789},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6361535787582397},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5903127193450928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5836546421051025},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5620553493499756},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.43518197536468506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42628616094589233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33189159631729126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3306828737258911},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32982751727104187},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3104001581668854}],"concepts":[{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6542394161224365},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6413776278495789},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6361535787582397},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5903127193450928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5836546421051025},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5620553493499756},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.43518197536468506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42628616094589233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33189159631729126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3306828737258911},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32982751727104187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3104001581668854},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/safeprocess52771.2021.9693686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess52771.2021.9693686","pdf_url":null,"source":{"id":"https://openalex.org/S4363605570","display_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","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":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1835518436","https://openalex.org/W1985368534","https://openalex.org/W1987919734","https://openalex.org/W2074812030","https://openalex.org/W2098395403","https://openalex.org/W2102148524","https://openalex.org/W2109896502","https://openalex.org/W2158994553"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2017776670","https://openalex.org/W2952760143","https://openalex.org/W4255837520","https://openalex.org/W2347897961","https://openalex.org/W2979236518","https://openalex.org/W2090763504","https://openalex.org/W2379140333"],"abstract_inverted_index":{"Exhaust":[0],"temperature":[1,21],"is":[2,63,69,79,94],"one":[3],"of":[4,9,18,24,52,88,104,120],"the":[5,14,27,47,72,82,86,97,102,105,111,118,125],"important":[6],"performance":[7,29],"parameters":[8],"engine":[10,28],"running":[11],"state.":[12],"Through":[13],"prediction":[15,56,73,93,126],"and":[16,43,49,75,123],"analysis":[17],"exhaust":[19],"gas":[20],"margin":[22],"(EGTM)":[23],"multiple":[25],"flights,":[26],"can":[30,115],"be":[31],"effectively":[32,116],"expressed,":[33],"which":[34],"provides":[35],"a":[36,55],"theoretical":[37],"basis":[38],"for":[39],"subsequent":[40],"fault":[41],"prevention":[42],"detection.":[44],"According":[45],"to":[46,84,100],"non-linear":[48],"non-stationary":[50],"characteristics":[51],"EGTM":[53,121],"data,":[54],"method":[57],"based":[58],"on":[59,96],"time":[60,89,112],"series":[61,113],"reconstruction":[62,114],"proposed.":[64],"Support":[65],"vector":[66],"regression":[67],"(SVR)":[68],"used":[70,80],"as":[71,81],"method,":[74],"permutation":[76],"entropy":[77],"(PE)":[78],"standard":[83],"measure":[85],"complexity":[87,119],"series.":[90],"Finally,":[91],"SVR":[92],"performed":[95],"reconstructed":[98],"data":[99,122],"prove":[101],"effectiveness":[103],"method.":[106],"The":[107],"results":[108],"show":[109],"that":[110],"reduce":[117],"improve":[124],"accuracy.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
