{"id":"https://openalex.org/W2745158571","doi":"https://doi.org/10.1109/icca.2017.8003036","title":"Incipient failure detection: A particle filtering approach with application to actuator systems","display_name":"Incipient failure detection: A particle filtering approach with application to actuator systems","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2745158571","doi":"https://doi.org/10.1109/icca.2017.8003036","mag":"2745158571"},"language":"en","primary_location":{"id":"doi:10.1109/icca.2017.8003036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2017.8003036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE International Conference on Control &amp; Automation (ICCA)","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/A5032541737","display_name":"Michael G. Balchanos","orcid":"https://orcid.org/0000-0002-6989-0481"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael Balchanos","raw_affiliation_strings":["Aerospace Systems Design Laboratory (ASDL), Georgia Institute of Technology, Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"Aerospace Systems Design Laboratory (ASDL), Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044421630","display_name":"Dimitri N. Mavris","orcid":"https://orcid.org/0000-0001-8783-4988"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitri Mavris","raw_affiliation_strings":["Aerospace Systems Design Laboratory (ASDL), Georgia Institute of Technology, Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"Aerospace Systems Design Laboratory (ASDL), Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101807275","display_name":"Douglas W. Brown","orcid":"https://orcid.org/0000-0003-0790-3408"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas W. Brown","raw_affiliation_strings":["Intelligent Control Systems Laboratory (ICSL), Georgia Institute of Technology, Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"Intelligent Control Systems Laboratory (ICSL), Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022376997","display_name":"George Georgoulas","orcid":"https://orcid.org/0000-0001-9701-4203"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Georgoulas","raw_affiliation_strings":["Intelligent Control Systems Laboratory (ICSL), Georgia Institute of Technology, Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"Intelligent Control Systems Laboratory (ICSL), Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039162074","display_name":"George Vachtsevanos","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Vachtsevanos","raw_affiliation_strings":["Intelligent Control Systems Laboratory (ICSL), Georgia Institute of Technology, Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"Intelligent Control Systems Laboratory (ICSL), Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032541737"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.2012,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.51777224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"64","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9995999932289124,"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":0.9995999932289124,"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":0.996399998664856,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958999752998352,"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/actuator","display_name":"Actuator","score":0.7475018501281738},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7351503968238831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5881558656692505},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.48874473571777344},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.34103280305862427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1953190267086029},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1595047116279602},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.15774989128112793},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.062060803174972534}],"concepts":[{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.7475018501281738},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7351503968238831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5881558656692505},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.48874473571777344},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.34103280305862427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1953190267086029},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1595047116279602},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.15774989128112793},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.062060803174972534},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca.2017.8003036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2017.8003036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE International Conference on Control &amp; Automation (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W652682793","https://openalex.org/W1480210583","https://openalex.org/W1806450901","https://openalex.org/W1966938757","https://openalex.org/W2001560448","https://openalex.org/W2031948673","https://openalex.org/W2054622577","https://openalex.org/W2086639155","https://openalex.org/W2098626917","https://openalex.org/W2098928261","https://openalex.org/W2105459700","https://openalex.org/W2112841480","https://openalex.org/W2122646361","https://openalex.org/W2124128849","https://openalex.org/W2134788745","https://openalex.org/W2142632891","https://openalex.org/W2148334186","https://openalex.org/W2148720028","https://openalex.org/W2153186894","https://openalex.org/W2514683513","https://openalex.org/W3147961303","https://openalex.org/W3148480311","https://openalex.org/W4232447824","https://openalex.org/W6793408808"],"related_works":["https://openalex.org/W2347749309","https://openalex.org/W2131201926","https://openalex.org/W2360012316","https://openalex.org/W2384389541","https://openalex.org/W2166016126","https://openalex.org/W3127374411","https://openalex.org/W2335326698","https://openalex.org/W2362725678","https://openalex.org/W2117034184","https://openalex.org/W2384519788"],"abstract_inverted_index":{"The":[0,126,146],"background,":[1],"simulation":[2],"and":[3,38,75,90,102,117,137],"experimental":[4,70,103],"evaluation":[5],"of":[6,24,53,139,172],"an":[7,25,34,69],"anomaly":[8,148,174],"detector":[9,175],"for":[10,62,105,135],"Brushless":[11],"DC":[12],"motor":[13],"winding":[14,45],"faults":[15,46],"is":[16,160,176],"described":[17],"in":[18,21,141],"this":[19],"paper":[20],"the":[22,48,63,79,87,99,119,169,173],"context":[23],"aircraft":[26],"Electro-Mechanical":[27],"Actuator":[28],"(EMA)":[29],"application.":[30],"Results":[31],"acquired":[32],"from":[33],"internal":[35],"Failure":[36],"Modes":[37],"Effects":[39],"Analysis":[40],"(FMEA)":[41],"study":[42],"identified":[43,64,85],"turn-to-turn":[44],"as":[47],"primary":[49],"mechanism,":[50],"or":[51],"mode,":[52],"failure.":[54],"Physics-of-failure":[55],"mechanisms":[56],"used":[57],"to":[58,77,122],"develop":[59],"a":[60,82,110,123,142,152,156,163],"model":[61,89,101],"fault":[65,88,107,153],"are":[66],"provided.":[67],"Then,":[68],"test":[71],"procedure":[72],"was":[73,96],"devised":[74],"executed":[76],"validate":[78],"model.":[80],"Additionally,":[81],"diagnostic":[83],"feature,":[84],"by":[86],"derived":[91],"using":[92,98,178],"Hilbert":[93],"transform":[94],"theory,":[95,133],"validated":[97],"system":[100],"data":[104],"several":[106],"dimensions.":[108],"Next,":[109],"feature":[111],"extraction":[112],"routine":[113,150],"preprocesses":[114],"monitoring":[115],"parameters":[116],"passes":[118],"resulting":[120,147],"features":[121],"particle":[124,127],"filter.":[125],"filter,":[128],"based":[129],"on":[130],"Bayesian":[131],"estimation":[132],"allows":[134],"representation":[136],"management":[138],"uncertainty":[140],"computationally":[143],"efficient":[144],"manner.":[145],"detection":[149],"declares":[151],"only":[154],"when":[155],"specified":[157],"confidence":[158],"level":[159],"reached":[161],"at":[162],"given":[164],"false":[165],"alarm":[166],"rate.":[167],"Finally,":[168],"real-time":[170],"performance":[171],"evaluated":[177],"LabVIEW.":[179]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
