{"id":"https://openalex.org/W4409795990","doi":"https://doi.org/10.1109/access.2025.3564467","title":"Fault Diagnosis and Prognosis With Inferential Sensors: A Hybrid Approach Integrating Symbolic Regression and Information Theory","display_name":"Fault Diagnosis and Prognosis With Inferential Sensors: A Hybrid Approach Integrating Symbolic Regression and Information Theory","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409795990","doi":"https://doi.org/10.1109/access.2025.3564467"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3564467","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3564467","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.2025.3564467","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033878163","display_name":"Efi Safikou","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Efi Safikou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","Department of Electrical &#x0026; Computer Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Department of Electrical &#x0026; Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082001657","display_name":"Krishna R. Pattipati","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishna R. Pattipati","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","Department of Electrical &#x0026; Computer Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Department of Electrical &#x0026; Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072576680","display_name":"George M. Bollas","orcid":"https://orcid.org/0000-0002-1960-431X"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George M. Bollas","raw_affiliation_strings":["Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, CT, USA","Department of Chemical &#x0026; Biomolecular Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Department of Chemical &#x0026; Biomolecular Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033878163"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"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":0.09101954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"78555","last_page":"78570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9742000102996826,"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":0.9742000102996826,"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/T10320","display_name":"Neural Networks and Applications","score":0.9240999817848206,"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/computer-science","display_name":"Computer science","score":0.6546761393547058},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5886286497116089},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.526272177696228},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4606705904006958},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4592902362346649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45927104353904724},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45319756865501404},{"id":"https://openalex.org/keywords/symbolic-trajectory-evaluation","display_name":"Symbolic trajectory evaluation","score":0.4118499159812927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3753388226032257},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3579777479171753},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3399330973625183},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28664660453796387},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24739408493041992},{"id":"https://openalex.org/keywords/model-checking","display_name":"Model checking","score":0.22813618183135986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1525593101978302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6546761393547058},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5886286497116089},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.526272177696228},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4606705904006958},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4592902362346649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45927104353904724},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45319756865501404},{"id":"https://openalex.org/C23123167","wikidata":"https://www.wikidata.org/wiki/Q7661193","display_name":"Symbolic trajectory evaluation","level":3,"score":0.4118499159812927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3753388226032257},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3579777479171753},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3399330973625183},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28664660453796387},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24739408493041992},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.22813618183135986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1525593101978302},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3564467","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3564467","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:813dcba64a9d467498aacac7f4bda121","is_oa":true,"landing_page_url":"https://doaj.org/article/813dcba64a9d467498aacac7f4bda121","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 78555-78570 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3564467","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3564467","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W301389136","https://openalex.org/W591732527","https://openalex.org/W1556370774","https://openalex.org/W1598414703","https://openalex.org/W1974528911","https://openalex.org/W2022032527","https://openalex.org/W2042311265","https://openalex.org/W2054587233","https://openalex.org/W2056494619","https://openalex.org/W2057091322","https://openalex.org/W2076613996","https://openalex.org/W2092023402","https://openalex.org/W2104714142","https://openalex.org/W2116167177","https://openalex.org/W2133832971","https://openalex.org/W2144779807","https://openalex.org/W2149823865","https://openalex.org/W2152074354","https://openalex.org/W2155433308","https://openalex.org/W2155848441","https://openalex.org/W2169273805","https://openalex.org/W2187422466","https://openalex.org/W2296077894","https://openalex.org/W2412781046","https://openalex.org/W2573416503","https://openalex.org/W2614556125","https://openalex.org/W2774906721","https://openalex.org/W2790195878","https://openalex.org/W2810292802","https://openalex.org/W2883883573","https://openalex.org/W2891579271","https://openalex.org/W2900926320","https://openalex.org/W2917926014","https://openalex.org/W2954782609","https://openalex.org/W2970342618","https://openalex.org/W2995349907","https://openalex.org/W2997418121","https://openalex.org/W3009386672","https://openalex.org/W3016401366","https://openalex.org/W3017946098","https://openalex.org/W3021291678","https://openalex.org/W3040184019","https://openalex.org/W3092147624","https://openalex.org/W3104794984","https://openalex.org/W3111210983","https://openalex.org/W3155332845","https://openalex.org/W3157130518","https://openalex.org/W3166656282","https://openalex.org/W3187435263","https://openalex.org/W3212095893","https://openalex.org/W4200597136","https://openalex.org/W4224237346","https://openalex.org/W4242631541","https://openalex.org/W4289524309","https://openalex.org/W4310981419","https://openalex.org/W4313573052","https://openalex.org/W4317746092","https://openalex.org/W4365145591","https://openalex.org/W4382936165","https://openalex.org/W4387079345","https://openalex.org/W4387136446","https://openalex.org/W4388765695","https://openalex.org/W4388903944","https://openalex.org/W4403123226","https://openalex.org/W4409363612","https://openalex.org/W6766379538","https://openalex.org/W6810210838","https://openalex.org/W6868442370"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,28,70,103,138],"fault":[3,30,45,90,149],"diagnosis":[4,33,123],"approach":[5],"that":[6,48],"integrates":[7],"symbolic":[8,64],"regression":[9,65,106],"and":[10,23,32,118,124,153],"information":[11],"theory":[12],"to":[13,27,42,51,78],"optimize":[14],"inferential":[15,110],"sensors,":[16,25],"which,":[17],"along":[18],"with":[19,145],"traditional":[20,128],"detection":[21,31],"techniques":[22],"hard":[24],"contribute":[26],"comprehensive":[29],"algorithm.":[34],"Additionally,":[35],"we":[36,101],"introduce":[37],"an":[38],"advanced":[39],"predictive":[40],"scheme":[41],"estimate":[43],"time-dependent":[44],"evolution":[46],"functions":[47],"enable":[49],"us":[50],"compute":[52],"the":[53,59,75,80,89,109,121],"remaining":[54],"useful":[55],"life":[56],"(RUL)":[57],"of":[58,120,148],"system.":[60],"Our":[61],"methodology":[62],"employs":[63],"for":[66],"parameter":[67],"trending":[68],"via":[69],"genetic":[71],"programming":[72],"algorithm,":[73],"integrating":[74],"system":[76,97,144],"model":[77,107],"discover":[79],"fault&#x2019;s":[81],"dependence":[82],"on":[83,137],"time.":[84],"This":[85],"relation":[86],"analytically":[87],"describes":[88],"progression,":[91,150],"providing":[92],"valuable":[93],"insights":[94],"into":[95],"predicting":[96],"health.":[98],"For":[99],"comparison,":[100],"apply":[102],"dynamic":[104,139],"degradation-based":[105],"using":[108],"sensors":[111],"as":[112],"health":[113],"indicators.":[114],"The":[115],"effectiveness,":[116],"robustness":[117],"superiority":[119],"proposed":[122],"prognosis":[125],"methods":[126],"over":[127],"power":[129],"function-based":[130],"degradation":[131],"models":[132],"are":[133],"demonstrated":[134],"through":[135],"experiments":[136],"cross-flow":[140],"plate-fin":[141],"heat":[142],"exchanger":[143],"varying":[146],"levels":[147],"measurement":[151],"noise,":[152],"uncertainty.":[154]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
