{"id":"https://openalex.org/W4285101290","doi":"https://doi.org/10.1109/aiiot54504.2022.9817236","title":"Detection of Faults in Electro-Hydrostatic Actuators Using Feature Extraction Methods and an Artificial Neural Network","display_name":"Detection of Faults in Electro-Hydrostatic Actuators Using Feature Extraction Methods and an Artificial Neural Network","publication_year":2022,"publication_date":"2022-06-06","ids":{"openalex":"https://openalex.org/W4285101290","doi":"https://doi.org/10.1109/aiiot54504.2022.9817236"},"language":"en","primary_location":{"id":"doi:10.1109/aiiot54504.2022.9817236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiiot54504.2022.9817236","pdf_url":null,"source":{"id":"https://openalex.org/S4363606627","display_name":"2022 IEEE World AI IoT Congress (AIIoT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE World AI IoT Congress (AIIoT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103872286","display_name":"Maryam Ghanbari","orcid":null},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Maryam Ghanbari","raw_affiliation_strings":["University of Manitoba,Department of Mechanical Engineering,Winnipeg,Canada","Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada","Department of Mechanical Engineering, University of Manitoba, Winnipeg, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manitoba,Department of Mechanical Engineering,Winnipeg,Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of Manitoba, Winnipeg, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038834884","display_name":"Witold Kinsner","orcid":"https://orcid.org/0000-0002-6759-1410"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Witold Kinsner","raw_affiliation_strings":["University of Manitoba,Department of Electrical and Computer Engineering,Winnipeg,Canada","Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manitoba,Department of Electrical and Computer Engineering,Winnipeg,Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057037777","display_name":"Nariman Sepehri","orcid":"https://orcid.org/0000-0002-6384-8776"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nariman Sepehri","raw_affiliation_strings":["University of Manitoba,Department of Mechanical Engineering,Winnipeg,Canada","Department of Mechanical Engineering, University of Manitoba, Winnipeg, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manitoba,Department of Mechanical Engineering,Winnipeg,Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of Manitoba, Winnipeg, Canada","institution_ids":["https://openalex.org/I46247651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I46247651"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"07"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9965999722480774,"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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9965999722480774,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9927999973297119,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9916999936103821,"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/actuator","display_name":"Actuator","score":0.8122029304504395},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.7759329676628113},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.738587498664856},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6054234504699707},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5922383069992065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5398930311203003},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4796883761882782},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.44330644607543945},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.43432071805000305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4251718819141388},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37321972846984863},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.36770784854888916},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.25888895988464355}],"concepts":[{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.8122029304504395},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.7759329676628113},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.738587498664856},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6054234504699707},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5922383069992065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5398930311203003},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4796883761882782},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.44330644607543945},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.43432071805000305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4251718819141388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37321972846984863},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.36770784854888916},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.25888895988464355},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiiot54504.2022.9817236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiiot54504.2022.9817236","pdf_url":null,"source":{"id":"https://openalex.org/S4363606627","display_name":"2022 IEEE World AI IoT Congress (AIIoT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE World AI IoT Congress (AIIoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1470137088","https://openalex.org/W1982021240","https://openalex.org/W2044278669","https://openalex.org/W2116531763","https://openalex.org/W2332940619","https://openalex.org/W2476797758","https://openalex.org/W2508050531","https://openalex.org/W2528516705","https://openalex.org/W2889691926","https://openalex.org/W2896842194","https://openalex.org/W2980967918","https://openalex.org/W2981712150","https://openalex.org/W3167037015","https://openalex.org/W3171506507","https://openalex.org/W4289867895","https://openalex.org/W4300470426","https://openalex.org/W4302067267"],"related_works":["https://openalex.org/W2490690736","https://openalex.org/W2099333796","https://openalex.org/W1999058329","https://openalex.org/W2080330449","https://openalex.org/W2007221537","https://openalex.org/W2169474978","https://openalex.org/W785766289","https://openalex.org/W2011222276","https://openalex.org/W2185997459","https://openalex.org/W2967125373"],"abstract_inverted_index":{"Electro-hydrostatic":[0],"actuators":[1,8],"(EHAs)":[2],"are":[3,23,70],"a":[4,20,40,80,99,121,128],"type":[5],"of":[6,53,60,66,88,102,112,172],"hydraulic":[7],"which":[9],"use":[10],"pumps":[11],"rather":[12],"than":[13,26],"valves":[14],"to":[15,49,63,75,126,147,151],"control":[16],"the":[17,27,51,54,58,73,86,92,110,135,153,159,169,173,181],"motion.":[18],"As":[19],"result,":[21],"they":[22],"more":[24],"efficient":[25],"valve-operated":[28],"actuators.":[29],"This":[30,96,144],"paper":[31,97],"presents":[32,98],"an":[33,103,113],"AI-based":[34],"internal":[35,44,67,89,114,154,186],"leakage":[36,45,90,115,155,187],"detection":[37,161,170],"algorithm":[38,83,162,183],"for":[39,84,108,131],"single-rod":[41],"EHA.":[42],"Actuator":[43],"has":[46],"been":[47],"chosen":[48,137],"demonstrate":[50],"efficacy":[52],"algorithm.":[55],"Based":[56],"on":[57],"sensitivity":[59,122],"various":[61],"measures":[62],"varying":[64],"levels":[65],"leakage,":[68],"indicators":[69],"derived":[71],"from":[72],"easy":[74],"obtain":[76],"pressure":[77],"measurements":[78],"and":[79],"fault":[81,116,156,160],"decision":[82],"quantifying":[85],"level":[87],"in":[91],"actuator":[93],"is":[94,124,138,165],"established.":[95],"new":[100],"architecture":[101],"artificial":[104],"neural":[105],"network":[106],"(ANN)":[107],"detecting":[109],"existence":[111],"as":[117],"labelled":[118],"data.":[119],"First,":[120],"analysis":[123],"used":[125],"select":[127],"measure":[129,136],"candidate":[130],"further":[132],"research.":[133],"Second,":[134],"analyzed":[139],"using":[140],"feature":[141],"extraction":[142],"methods.":[143],"step":[145],"aims":[146],"extract":[148],"hidden":[149],"features":[150],"maximize":[152],"detection.":[157],"Finally,":[158],"classification":[163],"efficiency":[164],"assessed":[166],"by":[167],"studying":[168],"rate":[171],"proposed":[174],"architecture.":[175],"The":[176],"experimental":[177],"results":[178],"show":[179],"that":[180],"developed":[182],"can":[184],"detect":[185],"faults":[188],"with":[189],"99.46%":[190],"accuracy.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}