{"id":"https://openalex.org/W1597360385","doi":"https://doi.org/10.1109/ijcnn.2005.1556268","title":"Dynamic neural network-based estimator for fault diagnosis in reaction wheel actuator of satellite attitude control system","display_name":"Dynamic neural network-based estimator for fault diagnosis in reaction wheel actuator of satellite attitude control system","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1597360385","doi":"https://doi.org/10.1109/ijcnn.2005.1556268","mag":"1597360385"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556268","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5012430377","display_name":"Ehsan Sobhani Tehrani","orcid":"https://orcid.org/0000-0002-9539-9952"},"institutions":[{"id":"https://openalex.org/I4210148195","display_name":"Concordia University","ror":"https://ror.org/04dwckp88","country_code":"US","type":"education","lineage":["https://openalex.org/I4210148195"]},{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA","US"],"is_corresponding":true,"raw_author_name":"E. Sobhani Tehrani","raw_affiliation_strings":["Concordia University, Montreal, QC, CA","Dept. of Electr. & Comput. Eng. Concordia Univ., Montreal, Que., Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Concordia University, Montreal, QC, CA","institution_ids":["https://openalex.org/I60158472","https://openalex.org/I4210148195"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng. Concordia Univ., Montreal, Que., Canada#TAB#","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009555575","display_name":"K. Khorasani","orcid":"https://orcid.org/0000-0002-6919-3889"},"institutions":[{"id":"https://openalex.org/I4210148195","display_name":"Concordia University","ror":"https://ror.org/04dwckp88","country_code":"US","type":"education","lineage":["https://openalex.org/I4210148195"]},{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"K. Khorasani","raw_affiliation_strings":["Concordia University, Montreal, QC, CA","Dept. of Electr. & Comput. Eng. Concordia Univ., Montreal, Que., Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Concordia University, Montreal, QC, CA","institution_ids":["https://openalex.org/I60158472","https://openalex.org/I4210148195"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng. Concordia Univ., Montreal, Que., Canada#TAB#","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060526140","display_name":"S. Tafazoli","orcid":"https://orcid.org/0000-0001-5450-4261"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Tafazoli","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012430377"],"corresponding_institution_ids":["https://openalex.org/I4210148195","https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":9.5567,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.98892535,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"2347","last_page":"2352"},"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9937999844551086,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.991599977016449,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7254522442817688},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6746492385864258},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.647953987121582},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6428875923156738},{"id":"https://openalex.org/keywords/reaction-wheel","display_name":"Reaction wheel","score":0.6357477903366089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.601040244102478},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5789932012557983},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.557799220085144},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4856185019016266},{"id":"https://openalex.org/keywords/attitude-control","display_name":"Attitude control","score":0.48026132583618164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3208088278770447},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.30130624771118164},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22830620408058167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20246842503547668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19493603706359863},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.14841455221176147}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7254522442817688},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6746492385864258},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.647953987121582},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6428875923156738},{"id":"https://openalex.org/C206245727","wikidata":"https://www.wikidata.org/wiki/Q2457049","display_name":"Reaction wheel","level":3,"score":0.6357477903366089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.601040244102478},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5789932012557983},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.557799220085144},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4856185019016266},{"id":"https://openalex.org/C155710575","wikidata":"https://www.wikidata.org/wiki/Q83001","display_name":"Attitude control","level":2,"score":0.48026132583618164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3208088278770447},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.30130624771118164},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22830620408058167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20246842503547668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19493603706359863},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.14841455221176147},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1556268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556268","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":18,"referenced_works":["https://openalex.org/W1510598017","https://openalex.org/W1531051295","https://openalex.org/W1653285955","https://openalex.org/W1995603189","https://openalex.org/W2007855078","https://openalex.org/W2038229199","https://openalex.org/W2063793600","https://openalex.org/W2098703861","https://openalex.org/W2122512809","https://openalex.org/W2128331064","https://openalex.org/W2133296042","https://openalex.org/W2150355110","https://openalex.org/W2153947411","https://openalex.org/W2157428011","https://openalex.org/W3187634231","https://openalex.org/W4205424175","https://openalex.org/W6679667905","https://openalex.org/W6799348602"],"related_works":["https://openalex.org/W1534141304","https://openalex.org/W769824413","https://openalex.org/W2246791325","https://openalex.org/W3099737803","https://openalex.org/W2141818798","https://openalex.org/W1605758165","https://openalex.org/W2584739047","https://openalex.org/W2733540627","https://openalex.org/W2330291114","https://openalex.org/W2511048432"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,44],"approach":[4],"to":[5,96,124],"simultaneous":[6],"fault":[7,51],"detection":[8],"and":[9,113],"isolation":[10],"in":[11,52],"the":[12,17,53,60,74,80,92,102,105,120,126,132,135,138],"reaction":[13,36],"wheel":[14,37],"actuator":[15],"of":[16,46,50,104,134],"satellite":[18],"attitude":[19],"control":[20],"system.":[21,54],"A":[22],"model-based":[23],"adaptive":[24],"nonlinear":[25,61,98],"parameter":[26,42],"estimation":[27,56,70,82],"technique":[28],"is":[29,43,57,66],"used":[30],"based":[31,58],"on":[32,59],"a":[33,47,97],"highly":[34],"accurate":[35],"dynamical":[38],"model":[39],"while":[40],"each":[41],"indication":[45],"specific":[48],"type":[49],"The":[55,108],"finite-memory":[62],"filtering":[63],"strategy":[64],"that":[65],"solved":[67],"for":[68,77,137],"optimal":[69,81],"functions.":[71],"To":[72],"make":[73],"optimization":[75,94,103],"feasible":[76],"on-line":[78],"application,":[79],"functions":[83],"are":[84],"approximated":[85],"by":[86],"MLP":[87],"neural":[88,106,121],"networks":[89],"thus":[90],"reducing":[91],"functional":[93],"problem":[95],"programming":[99],"problem,":[100],"namely,":[101],"weights.":[107],"well-known":[109],"standard":[110],"back-propagation":[111],"algorithm":[112,116],"backpropagation":[114],"through-time":[115],"were":[117],"employed":[118],"inside":[119],"adaptation":[122],"algorithms":[123],"obtain":[125],"required":[127],"gradients.":[128],"Simulation":[129],"results":[130],"show":[131],"effectiveness":[133],"methodology":[136],"proposed":[139],"application.":[140]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
