{"id":"https://openalex.org/W4387914268","doi":"https://doi.org/10.1109/codit58514.2023.10284307","title":"Speed Estimation of Induction Motor Using Gaussian Process Regression","display_name":"Speed Estimation of Induction Motor Using Gaussian Process Regression","publication_year":2023,"publication_date":"2023-07-03","ids":{"openalex":"https://openalex.org/W4387914268","doi":"https://doi.org/10.1109/codit58514.2023.10284307"},"language":"en","primary_location":{"id":"doi:10.1109/codit58514.2023.10284307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit58514.2023.10284307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5006386442","display_name":"Chinmayi Wagh","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chinmayi Wagh","raw_affiliation_strings":["CDRC, EED, VJTI,Mumbai,India","CDRC, EED, VJTI, Mumbai, India","CDRC, EED, Veermata Jijabai Technological Institute, Mumbai, INDIA"],"affiliations":[{"raw_affiliation_string":"CDRC, EED, VJTI,Mumbai,India","institution_ids":[]},{"raw_affiliation_string":"CDRC, EED, VJTI, Mumbai, India","institution_ids":[]},{"raw_affiliation_string":"CDRC, EED, Veermata Jijabai Technological Institute, Mumbai, INDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093120709","display_name":"Chandak Shivam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Shivam","raw_affiliation_strings":["CDRC, EED, VJTI,Mumbai,India","CDRC, EED, VJTI, Mumbai, India","CDRC, EED, Veermata Jijabai Technological Institute, Mumbai, INDIA"],"affiliations":[{"raw_affiliation_string":"CDRC, EED, VJTI,Mumbai,India","institution_ids":[]},{"raw_affiliation_string":"CDRC, EED, VJTI, Mumbai, India","institution_ids":[]},{"raw_affiliation_string":"CDRC, EED, Veermata Jijabai Technological Institute, Mumbai, INDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054501081","display_name":"G. Revati","orcid":"https://orcid.org/0000-0003-1780-0349"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Revati","raw_affiliation_strings":["CDRC, EED, VJTI,Mumbai,India","CDRC, EED, Veermata Jijabai Technological Institute, Mumbai, INDIA","CDRC, EED, VJTI, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"CDRC, EED, VJTI,Mumbai,India","institution_ids":[]},{"raw_affiliation_string":"CDRC, EED, Veermata Jijabai Technological Institute, Mumbai, INDIA","institution_ids":[]},{"raw_affiliation_string":"CDRC, EED, VJTI, Mumbai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103155792","display_name":"Syed Shadab Nayyer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Syed Shadab","raw_affiliation_strings":["CDRC, EED, VJTI,Mumbai,India","CDRC, EED, Veermata Jijabai Technological Institute, Mumbai, INDIA","CDRC, EED, VJTI, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"CDRC, EED, VJTI,Mumbai,India","institution_ids":[]},{"raw_affiliation_string":"CDRC, EED, Veermata Jijabai Technological Institute, Mumbai, INDIA","institution_ids":[]},{"raw_affiliation_string":"CDRC, EED, VJTI, Mumbai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072781564","display_name":"Sushama Wagh","orcid":"https://orcid.org/0000-0001-7380-7807"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. R. Wagh","raw_affiliation_strings":["CDRC, EED, VJTI,Mumbai,India","CDRC, EED, VJTI, Mumbai, India","CDRC, EED, Veermata Jijabai Technological Institute, Mumbai, INDIA"],"affiliations":[{"raw_affiliation_string":"CDRC, EED, VJTI,Mumbai,India","institution_ids":[]},{"raw_affiliation_string":"CDRC, EED, VJTI, Mumbai, India","institution_ids":[]},{"raw_affiliation_string":"CDRC, EED, Veermata Jijabai Technological Institute, Mumbai, INDIA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006386442"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4011,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61028181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10504","display_name":"Sensorless Control of Electric Motors","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10504","display_name":"Sensorless Control of Electric Motors","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9797999858856201,"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/T11236","display_name":"Control Systems and Identification","score":0.9700999855995178,"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/gaussian-process","display_name":"Gaussian process","score":0.5604598522186279},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.49893999099731445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4865264296531677},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.43854495882987976},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.41763466596603394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4099721908569336},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.34207555651664734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3184048533439636},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.313390851020813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29533055424690247},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.134983628988266},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07637414336204529}],"concepts":[{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5604598522186279},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.49893999099731445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4865264296531677},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.43854495882987976},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.41763466596603394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4099721908569336},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.34207555651664734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3184048533439636},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.313390851020813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29533055424690247},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.134983628988266},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07637414336204529},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit58514.2023.10284307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit58514.2023.10284307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1601795611","https://openalex.org/W2020074703","https://openalex.org/W2037915122","https://openalex.org/W2113748924","https://openalex.org/W2157334707","https://openalex.org/W2167458219","https://openalex.org/W2480512873","https://openalex.org/W2810484200","https://openalex.org/W3012436947","https://openalex.org/W3107634773","https://openalex.org/W3184293452","https://openalex.org/W3192621415","https://openalex.org/W4303987533","https://openalex.org/W4309798184","https://openalex.org/W4312417561","https://openalex.org/W4313048834","https://openalex.org/W6628990134","https://openalex.org/W6847089756"],"related_works":["https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W4293503520","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655","https://openalex.org/W2169866437"],"abstract_inverted_index":{"The":[0,23,44,64,101,135],"control":[1,93],"of":[2,40,46,87,118,128,168],"an":[3],"induction":[4],"motor":[5],"(IM)":[6],"drive":[7,90,130],"is":[8,17,54,69,94,112,137],"a":[9,70,140,148],"complex":[10,172],"process":[11],"and":[12,37,79,125,178],"requires":[13],"speed":[14,86],"estimation,":[15],"which":[16],"dependent":[18],"on":[19],"various":[20],"machine":[21],"parameters.":[22],"linear":[24,48],"regression":[25,49],"approach":[26,167,176],"reduces":[27],"this":[28,83,175],"dependency":[29],"by":[30],"eliminating":[31],"the":[32,41,47,56,61,85,88,116,121,143,165],"need":[33],"for":[34,152],"flux":[35,119],"computation":[36],"gain":[38],"adjustment":[39],"PI":[42],"controllers.":[43],"performance":[45],"model":[50,68,80,159],"deteriorates":[51],"when":[52],"data":[53],"noisy,":[55],"best":[57],"fit":[58],"deviates":[59],"from":[60,160],"desired":[62],"value.":[63],"Gaussian":[65,97],"Process":[66,98],"(GP)":[67],"non-parametric":[71],"model,":[72,142],"that":[73,155],"can":[74],"incorporate":[75],"these":[76],"noisy":[77],"measurements":[78],"uncertainties.":[81],"In":[82],"paper,":[84],"IM":[89],"with":[91],"vector":[92],"estimated":[95],"using":[96],"Regression":[99],"(GPR).":[100],"fictitious":[102],"quantity":[103],"<tex":[104,109],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[105,110],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$X$</tex>":[106],"=":[107],"\u016b*\u00d7":[108],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$I$</tex>":[111],"used":[113,151],"to":[114],"eliminate":[115],"calculation":[117],"in":[120,131],"stator":[122],"or":[123],"rotor":[124],"its":[126],"characteristic":[127],"stable":[129],"all":[132],"four":[133],"quadrants.":[134],"GP":[136,158],"viewed":[138],"as":[139],"surrogate":[141],"prediction":[144],"distribution":[145],"obtained":[146],"gives":[147],"confidence":[149],"interval,":[150],"usefulness":[153],"validation":[154],"also":[156],"distinguishes":[157],"other":[161],"black-box":[162],"models.":[163],"Furthermore,":[164],"Bayesian":[166],"GPR":[169],"involves":[170],"lesser":[171],"evaluations":[173],"making":[174],"simple":[177],"agile.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}