{"id":"https://openalex.org/W4220726932","doi":"https://doi.org/10.3390/s22072635","title":"Data-Driven Fault Diagnosis Techniques: Non-Linear Directional Residual vs. Machine-Learning-Based Methods","display_name":"Data-Driven Fault Diagnosis Techniques: Non-Linear Directional Residual vs. Machine-Learning-Based Methods","publication_year":2022,"publication_date":"2022-03-29","ids":{"openalex":"https://openalex.org/W4220726932","doi":"https://doi.org/10.3390/s22072635","pmid":"https://pubmed.ncbi.nlm.nih.gov/35408249"},"language":"en","primary_location":{"id":"doi:10.3390/s22072635","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22072635","pdf_url":"https://www.mdpi.com/1424-8220/22/7/2635/pdf?version=1648700310","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/7/2635/pdf?version=1648700310","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002373483","display_name":"Nicholas Cartocci","orcid":"https://orcid.org/0000-0002-4908-9769"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicholas Cartocci","raw_affiliation_strings":["Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy"],"raw_orcid":"https://orcid.org/0000-0002-4908-9769","affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110357836","display_name":"Marcello R. Napolitano","orcid":null},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marcello R. Napolitano","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV 26506, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV 26506, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081201069","display_name":"Francesco Crocetti","orcid":"https://orcid.org/0000-0001-9134-8368"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Crocetti","raw_affiliation_strings":["Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016925926","display_name":"Gabriele Costante","orcid":"https://orcid.org/0000-0002-8417-9372"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Costante","raw_affiliation_strings":["Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy"],"raw_orcid":"https://orcid.org/0000-0002-8417-9372","affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066104170","display_name":"Paolo Valigi","orcid":"https://orcid.org/0000-0002-0486-7678"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Valigi","raw_affiliation_strings":["Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057733793","display_name":"Mario Luca Fravolini","orcid":"https://orcid.org/0000-0002-3104-8782"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Mario L. Fravolini","raw_affiliation_strings":["Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy"],"raw_orcid":"https://orcid.org/0000-0002-3104-8782","affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057733793"],"corresponding_institution_ids":["https://openalex.org/I27483092"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.4555,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80315987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"7","first_page":"2635","last_page":"2635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9871000051498413,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9861999750137329,"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/overfitting","display_name":"Overfitting","score":0.685515820980072},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6752626895904541},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.633579432964325},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.617761492729187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6091490983963013},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5108887553215027},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5050340294837952},{"id":"https://openalex.org/keywords/multivariate-adaptive-regression-splines","display_name":"Multivariate adaptive regression splines","score":0.4640248417854309},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.43921124935150146},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.41169053316116333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3935029208660126},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3915097713470459},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37059614062309265},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.3457280397415161},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3361005485057831},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1723882257938385},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.10482677817344666}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.685515820980072},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6752626895904541},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.633579432964325},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.617761492729187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6091490983963013},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5108887553215027},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5050340294837952},{"id":"https://openalex.org/C44882253","wikidata":"https://www.wikidata.org/wiki/Q3455882","display_name":"Multivariate adaptive regression splines","level":4,"score":0.4640248417854309},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.43921124935150146},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.41169053316116333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3935029208660126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3915097713470459},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37059614062309265},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.3457280397415161},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3361005485057831},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1723882257938385},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.10482677817344666},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000401","descriptor_name":"Aircraft","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000401","descriptor_name":"Aircraft","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000401","descriptor_name":"Aircraft","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s22072635","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22072635","pdf_url":"https://www.mdpi.com/1424-8220/22/7/2635/pdf?version=1648700310","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35408249","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35408249","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:3142ffb9df9646d9b5ecaad4f4bc6299","is_oa":true,"landing_page_url":"https://doaj.org/article/3142ffb9df9646d9b5ecaad4f4bc6299","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":"Sensors, Vol 22, Iss 7, p 2635 (2022)","raw_type":"article"},{"id":"pmh:oai:iris.unige.it:11567/1204279","is_oa":false,"landing_page_url":"https://hdl.handle.net/11567/1204279","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/7/2635/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22072635","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 7; Pages: 2635","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9003460","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9003460","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22072635","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22072635","pdf_url":"https://www.mdpi.com/1424-8220/22/7/2635/pdf?version=1648700310","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1490010916","display_name":null,"funder_award_id":"RICBA19MLF","funder_id":"https://openalex.org/F4320326523","funder_display_name":"Universit\u00e0 degli Studi di Perugia"},{"id":"https://openalex.org/G2841883608","display_name":null,"funder_award_id":"RICBA20MF","funder_id":"https://openalex.org/F4320326523","funder_display_name":"Universit\u00e0 degli Studi di Perugia"}],"funders":[{"id":"https://openalex.org/F4320326523","display_name":"Universit\u00e0 degli Studi di Perugia","ror":"https://ror.org/00x27da85"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4220726932.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W259795459","https://openalex.org/W957850995","https://openalex.org/W1592847587","https://openalex.org/W1654016072","https://openalex.org/W1985995825","https://openalex.org/W1990669377","https://openalex.org/W2010922160","https://openalex.org/W2030678516","https://openalex.org/W2044565218","https://openalex.org/W2072769377","https://openalex.org/W2083971846","https://openalex.org/W2102201073","https://openalex.org/W2124470735","https://openalex.org/W2322925303","https://openalex.org/W2340896621","https://openalex.org/W2515440025","https://openalex.org/W2607335761","https://openalex.org/W2791519413","https://openalex.org/W2792488536","https://openalex.org/W2890482622","https://openalex.org/W2992035970","https://openalex.org/W3082205892","https://openalex.org/W3082502178","https://openalex.org/W3098015864","https://openalex.org/W3111252915","https://openalex.org/W3134231414","https://openalex.org/W3186682360","https://openalex.org/W4205721879","https://openalex.org/W4206333787","https://openalex.org/W4237210482","https://openalex.org/W4283390993","https://openalex.org/W4284894713","https://openalex.org/W6675321329"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W2578404781","https://openalex.org/W2065965834","https://openalex.org/W2074089485"],"abstract_inverted_index":{"Linear":[0],"dependence":[1],"of":[2,38,47,85,176,189,205],"variables":[3],"is":[4,196],"a":[5,115,154,206,211],"commonly":[6],"used":[7],"assumption":[8,37],"in":[9,45,101,108],"most":[10],"diagnostic":[11],"systems":[12],"for":[13],"which":[14,103],"many":[15,56],"robust":[16],"methodologies":[17],"have":[18,58],"been":[19],"developed":[20],"over":[21],"the":[22,26,36,109,121,126,130,143,146,169,173,177,182],"years.":[23],"In":[24,53],"case":[25],"system":[27,127],"nonlinearities":[28],"are":[29,83,104,139,150],"relevant,":[30],"fault":[31,66,87,157,178,190,193,218],"diagnosis":[32,67,219],"methods,":[33],"relying":[34],"on":[35],"linearity,":[39],"might":[40],"potentially":[41],"provide":[42],"unsatisfactory":[43],"results":[44],"terms":[46],"false":[48],"alarms":[49],"and":[50,98,181,192],"missed":[51],"detections.":[52],"recent":[54],"years,":[55],"authors":[57],"proposed":[59],"machine":[60],"learning":[61],"(ML)":[62],"techniques":[63,77,91],"to":[64,69,96,119,152],"improve":[65],"performance":[68,100,195],"mitigate":[70],"this":[71],"problem.":[72],"Although":[73],"very":[74],"powerful,":[75],"these":[76,137],"require":[78],"faulty":[79,161],"data":[80,201],"samples":[81],"that":[82],"representative":[84],"any":[86],"scenario.":[88],"Additionally,":[89],"ML":[90],"suffer":[92],"from":[93,142,202],"issues":[94],"related":[95],"overfitting":[97],"unpredictable":[99],"regions":[102],"not":[105],"fully":[106],"explored":[107],"training":[110],"phase.":[111],"This":[112],"paper":[113],"proposes":[114],"non-linear":[116,122,147],"additive":[117],"model":[118],"characterize":[120],"redundancy":[123,148],"relationships":[124,138,149],"among":[125],"signals.":[128],"Using":[129],"multivariate":[131],"adaptive":[132],"regression":[133],"splines":[134],"(MARS)":[135],"algorithm,":[136],"identified":[140],"directly":[141],"data.":[144],"Next,":[145],"linearized":[151],"derive":[153],"local":[155],"time-dependent":[156],"signature":[158,179],"matrix.":[159],"The":[160],"sensor":[162],"can":[163],"then":[164],"be":[165],"isolated":[166],"by":[167,198],"measuring":[168],"angular":[170],"distance":[171],"between":[172],"column":[174],"vectors":[175],"matrix":[180],"primary":[183],"residual":[184],"vector.":[185],"A":[186],"quantitative":[187,213],"analysis":[188],"isolation":[191],"estimation":[194],"performed":[197],"exploiting":[199],"real":[200],"multiple":[203],"flights":[204],"semi-autonomous":[207],"aircraft,":[208],"thus":[209],"allowing":[210],"detailed":[212],"comparison":[214],"with":[215],"state-of-the-art":[216],"machine-learning-based":[217],"algorithms.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}