{"id":"https://openalex.org/W2547361322","doi":"https://doi.org/10.1109/tsg.2016.2624313","title":"Tunable-Q Wavelet Transform and Dual Multiclass SVM for Online Automatic Detection of Power Quality Disturbances","display_name":"Tunable-Q Wavelet Transform and Dual Multiclass SVM for Online Automatic Detection of Power Quality Disturbances","publication_year":2016,"publication_date":"2016-11-02","ids":{"openalex":"https://openalex.org/W2547361322","doi":"https://doi.org/10.1109/tsg.2016.2624313","mag":"2547361322"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2016.2624313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2016.2624313","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-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/A5010053884","display_name":"Karthik Thirumala","orcid":"https://orcid.org/0000-0003-4661-7105"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Karthik Thirumala","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India"],"raw_orcid":"https://orcid.org/0000-0003-4661-7105","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015979022","display_name":"Mahendra Prasad","orcid":"https://orcid.org/0000-0002-1686-2364"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Siva Prasad","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007468343","display_name":"Trapti Jain","orcid":"https://orcid.org/0000-0001-8669-5947"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Trapti Jain","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India"],"raw_orcid":"https://orcid.org/0000-0001-8669-5947","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014682229","display_name":"Amod C. Umarikar","orcid":"https://orcid.org/0000-0001-8421-1697"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amod C. Umarikar","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010053884"],"corresponding_institution_ids":["https://openalex.org/I64295750"],"apc_list":null,"apc_paid":null,"fwci":8.1826,"has_fulltext":false,"cited_by_count":197,"citation_normalized_percentile":{"value":0.9793438,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"9","issue":"4","first_page":"3018","last_page":"3028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10573","display_name":"Power Quality and Harmonics","score":0.9998000264167786,"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/T10573","display_name":"Power Quality and Harmonics","score":0.9998000264167786,"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/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9919999837875366,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9772999882698059,"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/support-vector-machine","display_name":"Support vector machine","score":0.6284392476081848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6083430051803589},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5714280009269714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5449153780937195},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5238994359970093},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.46028369665145874},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4570903182029724},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4462166130542755},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.44290074706077576},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.41831791400909424},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.15570566058158875}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6284392476081848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6083430051803589},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5714280009269714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5449153780937195},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5238994359970093},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.46028369665145874},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4570903182029724},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4462166130542755},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.44290074706077576},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.41831791400909424},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.15570566058158875},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsg.2016.2624313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2016.2624313","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1649906376","https://openalex.org/W1969167633","https://openalex.org/W1971047516","https://openalex.org/W1980924751","https://openalex.org/W1982052219","https://openalex.org/W1994025416","https://openalex.org/W1999508011","https://openalex.org/W2004811742","https://openalex.org/W2019971481","https://openalex.org/W2023311332","https://openalex.org/W2026223754","https://openalex.org/W2027847980","https://openalex.org/W2044401459","https://openalex.org/W2049028244","https://openalex.org/W2056125095","https://openalex.org/W2057001181","https://openalex.org/W2062463467","https://openalex.org/W2062936627","https://openalex.org/W2075448888","https://openalex.org/W2112797878","https://openalex.org/W2119821739","https://openalex.org/W2138007004","https://openalex.org/W2153635508","https://openalex.org/W2155454743","https://openalex.org/W2158642626","https://openalex.org/W2159318234","https://openalex.org/W2164684831","https://openalex.org/W2166691322","https://openalex.org/W2172000360","https://openalex.org/W2318129892","https://openalex.org/W2492181757","https://openalex.org/W4235444226","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2046633342","https://openalex.org/W2014650515","https://openalex.org/W2077021924"],"abstract_inverted_index":{"A":[0],"new":[1],"automated":[2],"recognition":[3],"approach":[4,30,131],"based":[5,99,157],"on":[6,100,158],"tunable-Q":[7],"wavelet":[8,42],"transform":[9],"(TQWT)":[10],"and":[11,38,49,56,126,136,161],"a":[12,70,75,114],"dual":[13,115],"multiclass":[14],"support":[15],"vector":[16],"machines":[17],"(MSVM)":[18],"has":[19],"been":[20,166],"proposed":[21,29,130],"for":[22,43,118,132,168],"detection":[23],"of":[24,35,45,54,78,85,104,128,134,148,170],"power":[25,90,171],"quality":[26,91,172],"disturbances.":[27,173],"The":[28,52,89],"first":[31],"investigates":[32],"the":[33,41,59,65,83,101,123,129,146,149],"presence":[34],"low-frequency":[36,105],"interharmonics":[37],"then":[39],"tunes":[40],"decomposition":[44],"signal":[46],"into":[47,96],"fundamental":[48,66],"harmonic":[50],"components.":[51],"tuning":[53],"Q-factor":[55],"redundancy":[57],"makes":[58],"filter":[60],"design":[61],"to":[62,144],"accurately":[63],"extract":[64],"frequency":[67],"component":[68],"from":[69,152],"distorted":[71],"input":[72],"signal.":[73],"Then,":[74],"unique":[76],"set":[77],"features,":[79],"which":[80],"clearly":[81],"reveal":[82],"characteristics":[84],"disturbances,":[86],"are":[87,93,110],"extracted.":[88],"disturbances":[92,109,138],"broadly":[94],"categorized":[95],"two":[97,154],"groups":[98],"pre-obtained":[102],"information":[103],"interharmonics.":[106],"Therefore,":[107],"multiple":[108],"recognized":[111],"by":[112],"employing":[113],"MSVM,":[116],"one":[117],"each":[119],"group.":[120],"Results":[121],"demonstrate":[122],"applicability,":[124],"strength,":[125],"accuracy":[127],"classification":[133,169],"single":[135],"combined":[137],"under":[139],"different":[140],"noisy":[141],"conditions.":[142],"Moreover,":[143],"illustrate":[145],"prominence":[147],"features":[150],"extracted":[151],"TQWT,":[153],"more":[155],"classifiers":[156],"decision":[159],"tree":[160],"feedforward":[162],"neural":[163],"network":[164],"have":[165],"employed":[167]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}