{"id":"https://openalex.org/W3046003827","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148438","title":"Electric Power Quality Disturbances Classification based on Temporal-Spectral Images and Deep Convolutional Neural Networks","display_name":"Electric Power Quality Disturbances Classification based on Temporal-Spectral Images and Deep Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3046003827","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148438","mag":"3046003827"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc48107.2020.9148438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","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/A5066890365","display_name":"Mohamed Aymane Ahajjam","orcid":"https://orcid.org/0000-0002-3221-2353"},"institutions":[{"id":"https://openalex.org/I4210106663","display_name":"International University of Rabat","ror":"https://ror.org/01t9czq80","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210106663"]},{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Mohamed Aymane Ahajjam","raw_affiliation_strings":["International University of Rabat, TICLab & ENSIAS, Mohammed V University in Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"International University of Rabat, TICLab & ENSIAS, Mohammed V University in Rabat, Morocco","institution_ids":["https://openalex.org/I4210106663","https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050747219","display_name":"Daniel Bonilla Licea","orcid":"https://orcid.org/0000-0002-1057-816X"},"institutions":[{"id":"https://openalex.org/I4210106663","display_name":"International University of Rabat","ror":"https://ror.org/01t9czq80","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210106663"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Daniel Bonilla Licea","raw_affiliation_strings":["International University of Rabat, TICLab, Morocco"],"affiliations":[{"raw_affiliation_string":"International University of Rabat, TICLab, Morocco","institution_ids":["https://openalex.org/I4210106663"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057324156","display_name":"Mounir Ghogho","orcid":"https://orcid.org/0000-0002-0055-7867"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mounir Ghogho","raw_affiliation_strings":["University of Leeds, School of EEE, Leeds, UK"],"affiliations":[{"raw_affiliation_string":"University of Leeds, School of EEE, Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025108748","display_name":"Abdellatif Kobbane","orcid":"https://orcid.org/0000-0003-3593-4084"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdellatif Kobbane","raw_affiliation_strings":["ENSIAS, Mohammed V University in Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"ENSIAS, Mohammed V University in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066890365"],"corresponding_institution_ids":["https://openalex.org/I126477371","https://openalex.org/I4210106663"],"apc_list":null,"apc_paid":null,"fwci":0.9247,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.74511827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1701","last_page":"1706"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10573","display_name":"Power Quality and Harmonics","score":0.9980000257492065,"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":0.9980000257492065,"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":0.986299991607666,"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/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9787999987602234,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.751530110836029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.717567503452301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7163063883781433},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6642578840255737},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5823822617530823},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5711981058120728},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5595629215240479},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5515215992927551},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.44880276918411255},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43081510066986084},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4282492995262146},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4226047098636627},{"id":"https://openalex.org/keywords/power-quality","display_name":"Power quality","score":0.4206928014755249},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4198075532913208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.24772217869758606},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1318325400352478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08071565628051758},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07942292094230652},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06803172826766968}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.751530110836029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.717567503452301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7163063883781433},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6642578840255737},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5823822617530823},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5711981058120728},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5595629215240479},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5515215992927551},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.44880276918411255},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43081510066986084},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4282492995262146},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4226047098636627},{"id":"https://openalex.org/C2779665505","wikidata":"https://www.wikidata.org/wiki/Q1780079","display_name":"Power quality","level":3,"score":0.4206928014755249},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4198075532913208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.24772217869758606},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1318325400352478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08071565628051758},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07942292094230652},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06803172826766968},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc48107.2020.9148438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W66588809","https://openalex.org/W1649906376","https://openalex.org/W2551310898","https://openalex.org/W2789326499","https://openalex.org/W2791793337","https://openalex.org/W2803978022","https://openalex.org/W2807743563","https://openalex.org/W2810887434","https://openalex.org/W2812096095","https://openalex.org/W2901445255","https://openalex.org/W2912816184","https://openalex.org/W2923577799","https://openalex.org/W2955425717","https://openalex.org/W2963163009","https://openalex.org/W2964905270","https://openalex.org/W2965939572","https://openalex.org/W2969811671","https://openalex.org/W2975524327","https://openalex.org/W3083891030","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W3133861977","https://openalex.org/W4200173597","https://openalex.org/W3116150086","https://openalex.org/W2738221750","https://openalex.org/W2732542196","https://openalex.org/W564581980","https://openalex.org/W3216753168"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,49,77],"deep":[3],"learning":[4],"based":[5],"technique":[6,26,69,122],"for":[7],"power":[8],"quality":[9],"disturbances":[10],"(PQD)":[11],"detection":[12],"and":[13,35,61,74,88,113],"identification":[14],"that":[15,67],"aims":[16],"at":[17],"mimicking":[18],"the":[19,39,98,103,120],"reasoning":[20],"of":[21,28,38,44,90,105],"human":[22],"field":[23],"experts.":[24],"This":[25],"consists":[27],"processing":[29],"small-size":[30],"images":[31],"containing":[32,58],"superimposed":[33],"time":[34],"frequency":[36],"representations":[37],"electric":[40],"signal.":[41],"The":[42],"classification":[43],"PQD":[45],"is":[46,70],"performed":[47],"with":[48,55,76],"convolutional":[50],"neural":[51],"network":[52],"(CNN)":[53],"trained":[54],"synthetic":[56],"signals":[57],"various":[59],"single":[60,86],"multiple":[62],"PQDs.":[63],"Simulation":[64],"results":[65],"show":[66],"our":[68],"able":[71],"to":[72,82,94],"detect":[73],"identify":[75],"high":[78,117],"accuracy,":[79],"in":[80,97,102],"addition":[81],"pure":[83],"sinusoidal,":[84],"eight":[85],"PQDs":[87,96],"20":[89],"their":[91],"combinations":[92],"(up":[93],"four":[95],"same":[99],"signal)":[100],"even":[101],"presence":[104],"noise.":[106],"Features":[107],"such":[108],"as":[109],"lower":[110],"computational":[111],"load":[112],"simplicity":[114],"while":[115],"maintaining":[116],"performance":[118],"sets":[119],"proposed":[121],"apart":[123],"from":[124],"previous":[125],"ones.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
