{"id":"https://openalex.org/W3202872724","doi":"https://doi.org/10.2514/1.i010960","title":"Intelligent Damage Detection for Aircraft Engine with Context Encoder Neural Networks","display_name":"Intelligent Damage Detection for Aircraft Engine with Context Encoder Neural Networks","publication_year":2021,"publication_date":"2021-09-25","ids":{"openalex":"https://openalex.org/W3202872724","doi":"https://doi.org/10.2514/1.i010960","mag":"3202872724"},"language":"en","primary_location":{"id":"doi:10.2514/1.i010960","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i010960","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","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/A5103253178","display_name":"Xinjie Guan","orcid":"https://orcid.org/0000-0002-1158-3366"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjie Guan","raw_affiliation_strings":["Nanjing Tech University, 211800 Nanjing, People\u2019s Republic of China"],"raw_orcid":"https://orcid.org/0000-0002-1158-3366","affiliations":[{"raw_affiliation_string":"Nanjing Tech University, 211800 Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103204618","display_name":"Zheng Jian","orcid":"https://orcid.org/0000-0003-0749-6996"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Jian","raw_affiliation_strings":["Nanjing Tech University, 211800 Nanjing, People\u2019s Republic of China","Nanjing Tech University, 211800 Nanjing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Tech University, 211800 Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I134687103"]},{"raw_affiliation_string":"Nanjing Tech University, 211800 Nanjing, People's Republic of China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058933449","display_name":"Xili Wan","orcid":"https://orcid.org/0000-0001-9160-8246"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xili Wan","raw_affiliation_strings":["Nanjing Tech University, 211800 Nanjing, People\u2019s Republic of China","Nanjing Tech University, 211800 Nanjing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Tech University, 211800 Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I134687103"]},{"raw_affiliation_string":"Nanjing Tech University, 211800 Nanjing, People's Republic of China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046324870","display_name":"Renrui Xiao","orcid":"https://orcid.org/0000-0003-0329-0480"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renrui Xiao","raw_affiliation_strings":["Nanjing Tech University, 211800 Nanjing, People\u2019s Republic of China"],"raw_orcid":"https://orcid.org/0000-0003-0329-0480","affiliations":[{"raw_affiliation_string":"Nanjing Tech University, 211800 Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101626869","display_name":"Yifeng Li","orcid":"https://orcid.org/0000-0003-4798-3211"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifeng Li","raw_affiliation_strings":["Nanjing Tech University, 211800 Nanjing, People\u2019s Republic of China","Nanjing Tech University, 211800 Nanjing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Tech University, 211800 Nanjing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I134687103"]},{"raw_affiliation_string":"Nanjing Tech University, 211800 Nanjing, People's Republic of China","institution_ids":["https://openalex.org/I134687103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4511,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.59489286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"18","issue":"11","first_page":"803","last_page":"812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9987999796867371,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9781000018119812,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6554697751998901},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6437005400657654},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5771690607070923},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5490267872810364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.544488251209259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5014400482177734},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4361327588558197},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4351273775100708},{"id":"https://openalex.org/keywords/aircraft-maintenance","display_name":"Aircraft maintenance","score":0.4182220697402954},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3851960003376007},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.1920936107635498}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6554697751998901},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6437005400657654},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5771690607070923},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5490267872810364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.544488251209259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5014400482177734},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4361327588558197},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4351273775100708},{"id":"https://openalex.org/C107545201","wikidata":"https://www.wikidata.org/wiki/Q906438","display_name":"Aircraft maintenance","level":2,"score":0.4182220697402954},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3851960003376007},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.1920936107635498},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2514/1.i010960","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i010960","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8682843298","display_name":null,"funder_award_id":"61802176","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W199948672","https://openalex.org/W267682527","https://openalex.org/W1987382265","https://openalex.org/W2412782625","https://openalex.org/W2598457882","https://openalex.org/W2765854388","https://openalex.org/W2921406441","https://openalex.org/W2945187849","https://openalex.org/W2972309292","https://openalex.org/W3099364866","https://openalex.org/W3103010481","https://openalex.org/W4234173777"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W2611989081","https://openalex.org/W3155418658","https://openalex.org/W4243199227"],"abstract_inverted_index":{"It":[0],"is":[1,33,48,87,108],"vital":[2],"and":[3,7,35,55,128,133],"essential":[4],"to":[5,37,40,49],"accurately":[6,77],"timely":[8],"detect":[9],"various":[10,115,122],"damages":[11,123],"of":[12,45],"aircraft":[13,19,28,52],"engines":[14,20],"in":[15],"civil":[16],"aviation.":[17],"Currently,":[18],"are":[21],"manually":[22],"inspected":[23],"via":[24],"borescope":[25,80,97],"images":[26,98],"by":[27,135],"maintenance":[29],"technicians.":[30],"This":[31],"process":[32],"time-consuming":[34],"prone":[36],"error":[38],"due":[39],"human":[41],"factors.":[42],"The":[43,117],"aim":[44],"this":[46,56],"paper":[47],"automate":[50],"the":[51,72,83,95,105,136],"engine":[53],"inspection,":[54],"work":[57],"presents":[58],"a":[59,64,101],"deep":[60],"learning":[61],"framework":[62,107],"with":[63,110,130],"context":[65],"encoder":[66],"neural":[67],"network":[68,85],"structure":[69,86],"such":[70],"that":[71,121],"damaged":[73],"structures":[74],"can":[75,124],"be":[76,125],"segmented":[78],"from":[79,100,114],"images.":[81],"Moreover,":[82],"proposed":[84,106,137],"further":[88],"optimized":[89],"through":[90],"an":[91],"orthogonal-array-based":[92],"method.":[93],"With":[94],"real":[96],"collected":[99],"commercial":[102],"airline":[103],"company,":[104],"compared":[109],"existing":[111],"deep-learning-based":[112],"methods":[113],"aspects.":[116],"experimental":[118],"results":[119],"validate":[120],"automatically":[126],"detected":[127],"recognized":[129],"high":[131],"accuracy":[132],"efficiency":[134],"solution.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
