{"id":"https://openalex.org/W7155166546","doi":"https://doi.org/10.1109/access.2026.3686642","title":"Embedded Artificial Intelligence for Predictive Maintenance of Jet Engines: A Hardware-Aware Deployment on FPGA-Based Edge Platforms","display_name":"Embedded Artificial Intelligence for Predictive Maintenance of Jet Engines: A Hardware-Aware Deployment on FPGA-Based Edge Platforms","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7155166546","doi":"https://doi.org/10.1109/access.2026.3686642"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3686642","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3686642","pdf_url":null,"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://doi.org/10.1109/access.2026.3686642","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134231031","display_name":"Giorgio Ubbriaco","orcid":null},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giorgio Ubbriaco","raw_affiliation_strings":["Department of Informatics, Modeling, Electronics and Systems Engineering, University of Calabria, Arcavacata di Rende, Italy"],"raw_orcid":"https://orcid.org/0009-0005-2982-1667","affiliations":[{"raw_affiliation_string":"Department of Informatics, Modeling, Electronics and Systems Engineering, University of Calabria, Arcavacata di Rende, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074662921","display_name":"Stefania Perri","orcid":"https://orcid.org/0000-0003-1363-9201"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefania Perri","raw_affiliation_strings":["Department of Informatics, Modeling, Electronics and Systems Engineering, University of Calabria, Arcavacata di Rende, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1363-9201","affiliations":[{"raw_affiliation_string":"Department of Informatics, Modeling, Electronics and Systems Engineering, University of Calabria, Arcavacata di Rende, Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45204951"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41633643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"62405","last_page":"62422"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11005","display_name":"Radiation Effects in Electronics","score":0.06589999794960022,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11005","display_name":"Radiation Effects in Electronics","score":0.06589999794960022,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12810","display_name":"Real-time simulation and control systems","score":0.062300000339746475,"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/T13954","display_name":"Aerospace Engineering and Applications","score":0.03060000017285347,"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/software-deployment","display_name":"Software deployment","score":0.6590999960899353},{"id":"https://openalex.org/keywords/jet-engine","display_name":"Jet engine","score":0.5317999720573425},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4887999892234802},{"id":"https://openalex.org/keywords/jet","display_name":"Jet (fluid)","score":0.482699990272522},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45010000467300415},{"id":"https://openalex.org/keywords/applications-of-artificial-intelligence","display_name":"Applications of artificial intelligence","score":0.3675000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797000169754028},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6590999960899353},{"id":"https://openalex.org/C39643299","wikidata":"https://www.wikidata.org/wiki/Q178777","display_name":"Jet engine","level":2,"score":0.5317999720573425},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4887999892234802},{"id":"https://openalex.org/C119947313","wikidata":"https://www.wikidata.org/wiki/Q5596635","display_name":"Jet (fluid)","level":2,"score":0.482699990272522},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45010000467300415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42660000920295715},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.296999990940094},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.2883000075817108},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2671000063419342},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.25380000472068787},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.2533999979496002}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3686642","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3686642","pdf_url":null,"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:fa5f0f830fd64c17ac9d1ea016fb6958","is_oa":true,"landing_page_url":"https://doaj.org/article/fa5f0f830fd64c17ac9d1ea016fb6958","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 14, Pp 62405-62422 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3686642","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3686642","pdf_url":null,"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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,112],"advancements":[1],"of":[2,12,29,58,77,94,103,109,165],"artificial":[3],"intelligence":[4],"and":[5,46,54,128,135,147],"embedded":[6,175],"platforms":[7],"have":[8,69],"enabled":[9],"the":[10,19,26,36,56,74,91,99,131,163,166],"development":[11,57],"cutting-edge":[13],"solutions":[14],"for":[15,25,64,97,137,173],"predictive":[16],"maintenance":[17],"in":[18,154,181],"aerospace":[20,182],"sector.":[21],"Nowadays,":[22],"failure":[23],"data":[24],"mechanical":[27],"components":[28,79],"aircraft":[30],"engines":[31,105],"are":[32,133,171],"rather":[33],"limited.":[34],"Specifically,":[35],"information":[37],"preceding":[38],"failures":[39],"is":[40,44],"lacking,":[41],"as":[42,178],"it":[43],"difficult":[45],"expensive":[47],"to":[48,72,89],"acquire.":[49],"To":[50],"overcome":[51],"this":[52],"difficulty":[53],"facilitate":[55],"methodologies":[59],"based":[60],"on":[61,139],"data-driven":[62],"approaches":[63],"detecting":[65],"temporal":[66,75],"patterns,":[67],"tools":[68],"been":[70],"developed":[71],"simulate":[73],"evolution":[76],"these":[78,145],"until":[80],"their":[81,125],"failure.":[82],"This":[83],"paper":[84],"presents":[85],"a":[86,107,140,151],"new":[87],"methodology":[88],"enhance":[90],"throughput":[92],"inference":[93],"prediction":[95],"models":[96,114,132],"estimating":[98],"Remaining":[100],"Useful":[101],"Life":[102],"jet":[104],"using":[106],"set":[108],"simulated":[110],"data.":[111],"proposed":[113],"match":[115],"or":[116],"outperform":[117],"most":[118],"comparison":[119],"algorithms,":[120],"demonstrating":[121],"significant":[122],"results":[123],"despite":[124],"simpler":[126],"design":[127],"implementation.":[129],"Subsequently,":[130],"quantized":[134],"compiled":[136],"execution":[138],"Deep-learning":[141],"Processing":[142],"Unit.":[143],"While":[144],"optimization":[146],"deployment":[148],"steps":[149],"introduce":[150],"slight":[152],"loss":[153],"accuracy,":[155],"they":[156],"enable":[157],"low":[158],"energy":[159],"consumption":[160],"by":[161],"leveraging":[162],"efficiency":[164],"hardware":[167],"platform.":[168],"These":[169],"improvements":[170],"crucial":[172],"critical":[174],"systems,":[176],"such":[177],"those":[179],"required":[180],"applications.":[183]},"counts_by_year":[],"updated_date":"2026-05-04T06:00:05.808912","created_date":"2026-04-23T00:00:00"}
