{"id":"https://openalex.org/W3165103794","doi":"https://doi.org/10.1109/ssd52085.2021.9429351","title":"Random forest-based nonlinear improved feature extraction and selection for fault classification","display_name":"Random forest-based nonlinear improved feature extraction and selection for fault classification","publication_year":2021,"publication_date":"2021-03-22","ids":{"openalex":"https://openalex.org/W3165103794","doi":"https://doi.org/10.1109/ssd52085.2021.9429351","mag":"3165103794"},"language":"en","primary_location":{"id":"doi:10.1109/ssd52085.2021.9429351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd52085.2021.9429351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","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/A5061056125","display_name":"Radhia Fezai","orcid":null},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Radhia Fezai","raw_affiliation_strings":["University of Monastir, Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Monastir, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076208634","display_name":"Kais Bouzrara","orcid":"https://orcid.org/0000-0003-2492-9626"},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Kais Bouzrara","raw_affiliation_strings":["University of Monastir, Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Monastir, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043479229","display_name":"Majdi Mansouri","orcid":"https://orcid.org/0000-0001-6390-4304"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Majdi Mansouri","raw_affiliation_strings":["Texas A&M University at Qatar, Qatar"],"affiliations":[{"raw_affiliation_string":"Texas A&M University at Qatar, Qatar","institution_ids":["https://openalex.org/I58152225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025512804","display_name":"Hazem Nounou","orcid":"https://orcid.org/0000-0001-8075-1581"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Hazem Nounou","raw_affiliation_strings":["Texas A&M University at Qatar, Qatar"],"affiliations":[{"raw_affiliation_string":"Texas A&M University at Qatar, Qatar","institution_ids":["https://openalex.org/I58152225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056444635","display_name":"Mohamed Nounou","orcid":"https://orcid.org/0000-0003-0520-9623"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Mohamed Nounou","raw_affiliation_strings":["Texas A&M University at Qatar, Qatar"],"affiliations":[{"raw_affiliation_string":"Texas A&M University at Qatar, Qatar","institution_ids":["https://openalex.org/I58152225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013855196","display_name":"Mohamed Trabelsi","orcid":"https://orcid.org/0000-0003-1955-0355"},"institutions":[{"id":"https://openalex.org/I4210111408","display_name":"Kuwait College of Science and Technology","ror":"https://ror.org/01vjvsj67","country_code":"KW","type":"education","lineage":["https://openalex.org/I4210111408"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Mohamed Trabelsi","raw_affiliation_strings":["Kuwait College of Science and Technology, Kuwait"],"affiliations":[{"raw_affiliation_string":"Kuwait College of Science and Technology, Kuwait","institution_ids":["https://openalex.org/I4210111408"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061056125"],"corresponding_institution_ids":["https://openalex.org/I166928557"],"apc_list":null,"apc_paid":null,"fwci":0.2747,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52642116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"66","issue":null,"first_page":"601","last_page":"606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9987000226974487,"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":0.9987000226974487,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9750999808311462,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.963699996471405,"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/random-forest","display_name":"Random forest","score":0.8797169327735901},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6283403635025024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6173995137214661},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5860852003097534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5642403364181519},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5416922569274902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5284911394119263},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5264801979064941},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5220508575439453},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4699297845363617},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43164899945259094},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.4223357141017914},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.41579023003578186},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38294878602027893},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23924848437309265}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8797169327735901},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6283403635025024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6173995137214661},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5860852003097534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5642403364181519},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5416922569274902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5284911394119263},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5264801979064941},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5220508575439453},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4699297845363617},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43164899945259094},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.4223357141017914},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41579023003578186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38294878602027893},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23924848437309265},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssd52085.2021.9429351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd52085.2021.9429351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1654793434","display_name":null,"funder_award_id":"NPRP9-330-2-140","funder_id":"https://openalex.org/F4320332753","funder_display_name":"Qatar National Research Fund"}],"funders":[{"id":"https://openalex.org/F4320332753","display_name":"Qatar National Research Fund","ror":"https://ror.org/01svaqq28"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1889820893","https://openalex.org/W2038573408","https://openalex.org/W2052945018","https://openalex.org/W2344037786","https://openalex.org/W2537130929","https://openalex.org/W2621841909","https://openalex.org/W2745138130","https://openalex.org/W2902087014","https://openalex.org/W2911964244","https://openalex.org/W2921108624","https://openalex.org/W2933589034","https://openalex.org/W2936886497","https://openalex.org/W2942516496","https://openalex.org/W2944544772","https://openalex.org/W2989283265","https://openalex.org/W2990008145","https://openalex.org/W2999570460","https://openalex.org/W3011171922","https://openalex.org/W3025884834","https://openalex.org/W3035221627","https://openalex.org/W3083455217","https://openalex.org/W3110176704","https://openalex.org/W3127802464","https://openalex.org/W6728873562"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"Interval":[3],"Gaussian":[4],"Process":[5],"Regression":[6],"(IGPR)-based":[7],"Random":[8,70],"Forest":[9,71],"(RF)":[10,72],"proposed":[11],"for":[12],"fault":[13],"detection":[14,86],"and":[15,34,55,82],"diagnosis":[16],"(FDD)":[17],"due":[18],"to":[19,40,68],"its":[20],"effectiveness":[21,78],"in":[22,85],"handling":[23],"uncertain":[24],"industrial":[25],"process":[26],"data,":[27],"which":[28],"are":[29,64],"often":[30],"with":[31],"high":[32],"nonlinearities":[33],"strong":[35],"correlations.":[36],"This":[37],"technique":[38,63],"aims":[39],"extract":[41],"the":[42,51,56,69,77,80,83],"features":[43,81],"from":[44,61],"raw":[45],"data":[46],"using":[47],"IGPR":[48,62],"technique.":[49],"Then,":[50],"interval":[52,57],"mean":[53],"vector":[54],"variance":[58],"matrix":[59],"obtained":[60],"used":[65],"as":[66],"inputs":[67],"classifier.":[73],"The":[74],"results":[75],"show":[76],"of":[79,87,89],"classifiers":[84],"faults":[88],"Wind":[90],"Energy":[91],"Conversion":[92],"(WEC)":[93],"Systems.":[94]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}