{"id":"https://openalex.org/W1965522250","doi":"https://doi.org/10.1109/icdsp.2013.6622708","title":"A fast EMD-based technique for Power Quality signals decomposition, compression, and time-frequency analysis","display_name":"A fast EMD-based technique for Power Quality signals decomposition, compression, and time-frequency analysis","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1965522250","doi":"https://doi.org/10.1109/icdsp.2013.6622708","mag":"1965522250"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2013.6622708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","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/A5101846385","display_name":"Leonardo Bandeira Soares","orcid":"https://orcid.org/0000-0002-4678-9401"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]},{"id":"https://openalex.org/I94328231","display_name":"University of Rio Grande and Rio Grande Community College","ror":"https://ror.org/02sghbs34","country_code":"US","type":"education","lineage":["https://openalex.org/I94328231"]}],"countries":["BR","US"],"is_corresponding":true,"raw_author_name":"Leonardo Bandeira Soares","raw_affiliation_strings":["Informatics Institute-Microelectronics Graduate Program (PGMicro), Federal University of Rio Grande do Sul, Porto Alegre, Brazil","Inf. Inst. - Microelectron. Grad. Program (PGMicro), Fed. Univ. of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Informatics Institute-Microelectronics Graduate Program (PGMicro), Federal University of Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723"]},{"raw_affiliation_string":"Inf. Inst. - Microelectron. Grad. Program (PGMicro), Fed. Univ. of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723","https://openalex.org/I94328231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046426137","display_name":"S\u00e9rgio Bampi","orcid":"https://orcid.org/0000-0002-9018-6309"},"institutions":[{"id":"https://openalex.org/I94328231","display_name":"University of Rio Grande and Rio Grande Community College","ror":"https://ror.org/02sghbs34","country_code":"US","type":"education","lineage":["https://openalex.org/I94328231"]},{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Sergio Bampi","raw_affiliation_strings":["Informatics Institute-Microelectronics Graduate Program (PGMicro), Federal University of Rio Grande do Sul, Porto Alegre, Brazil","Inf. Inst. - Microelectron. Grad. Program (PGMicro), Fed. Univ. of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Informatics Institute-Microelectronics Graduate Program (PGMicro), Federal University of Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723"]},{"raw_affiliation_string":"Inf. Inst. - Microelectron. Grad. Program (PGMicro), Fed. Univ. of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723","https://openalex.org/I94328231"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075931129","display_name":"C\u00e9sar David Paredes Crovato","orcid":"https://orcid.org/0000-0003-1402-9595"},"institutions":[{"id":"https://openalex.org/I145689991","display_name":"Universidade Feevale","ror":"https://ror.org/05gefd119","country_code":"BR","type":"education","lineage":["https://openalex.org/I145689991"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cesar David Paredes Crovato","raw_affiliation_strings":["ICET/PPGE, Feevale Univ., Sa\u0303o Leopoldo, Brazil"],"affiliations":[{"raw_affiliation_string":"ICET/PPGE, Feevale Univ., Sa\u0303o Leopoldo, Brazil","institution_ids":["https://openalex.org/I145689991"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101846385"],"corresponding_institution_ids":["https://openalex.org/I130442723","https://openalex.org/I94328231"],"apc_list":null,"apc_paid":null,"fwci":0.2365,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57300196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10573","display_name":"Power Quality and Harmonics","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9983000159263611,"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":0.9912999868392944,"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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8988901376724243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6363495588302612},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6348778605461121},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4908824563026428},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.486405611038208},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.47998854517936707},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.45609724521636963},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4508396089076996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4496479630470276},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44183552265167236},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4275778532028198},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4187844395637512},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39722758531570435},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.3886409103870392},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13953596353530884},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11069947481155396}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8988901376724243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6363495588302612},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6348778605461121},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4908824563026428},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.486405611038208},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.47998854517936707},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.45609724521636963},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4508396089076996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4496479630470276},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44183552265167236},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4275778532028198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4187844395637512},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39722758531570435},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3886409103870392},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13953596353530884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11069947481155396},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2013.6622708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2007221293","https://openalex.org/W2055056624","https://openalex.org/W2092395488","https://openalex.org/W2099454722","https://openalex.org/W2109641041","https://openalex.org/W2110828252","https://openalex.org/W2119365536","https://openalex.org/W2120390927","https://openalex.org/W2132984323","https://openalex.org/W2137203768","https://openalex.org/W2138007004","https://openalex.org/W2139023432"],"related_works":["https://openalex.org/W2364188284","https://openalex.org/W116012085","https://openalex.org/W2189003114","https://openalex.org/W2108583803","https://openalex.org/W2387231345","https://openalex.org/W2078332635","https://openalex.org/W2360197403","https://openalex.org/W4283516365","https://openalex.org/W2135851524","https://openalex.org/W2135862578"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"an":[3],"EMD-based":[4],"(Empirical":[5],"Mode":[6],"Decomposition)":[7],"technique":[8,32,79],"is":[9],"proposed":[10],"in":[11,83],"order":[12],"to":[13,44],"improve":[14],"the":[15,38,45,81,95,105],"data":[16,85],"compression":[17,86],"and":[18,36,49,69,72,88,100],"reconstructed":[19],"signal":[20],"accuracy":[21,90],"trade-off":[22],"for":[23,104],"PQ":[24],"(Power":[25],"Quality)":[26],"signals.":[27],"We":[28],"demonstrate":[29],"that":[30,77],"our":[31,62,78],"saves":[33],"computational":[34,98],"cost":[35],"reduces":[37],"mode":[39,101],"mixing":[40,102],"problem":[41],"when":[42],"compared":[43],"EEMD":[46],"(Ensemble":[47],"EMD)":[48],"traditional":[50,71],"EMD,":[51],"respectively.":[52],"After":[53],"simulations":[54],"with":[55,64],"recorded":[56],"power":[57],"line":[58],"test-cases,":[59],"we":[60,93],"compare":[61],"results":[63],"DWT":[65,82],"(Discrete":[66],"Wavelet":[67],"Transform),":[68],"both":[70,84],"EEMD.":[73],"Results":[74],"have":[75],"shown":[76],"outperforms":[80],"ratio":[87],"reconstruction":[89],"metrics.":[91],"Moreover,":[92],"analyze":[94],"balance":[96],"between":[97],"costs":[99],"reduction":[103],"three":[106],"EMD":[107],"techniques.":[108]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}