{"id":"https://openalex.org/W3038581328","doi":"https://doi.org/10.1109/access.2020.3006140","title":"Partial Discharge Signal Denoising Based on Wavelet Pair and Block Thresholding","display_name":"Partial Discharge Signal Denoising Based on Wavelet Pair and Block Thresholding","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3038581328","doi":"https://doi.org/10.1109/access.2020.3006140","mag":"3038581328"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3006140","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3006140","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09129807.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09129807.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101701331","display_name":"Siyuan Zhou","orcid":"https://orcid.org/0000-0002-2483-5403"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Zhou","raw_affiliation_strings":["School of Electrical Engineering and Automation, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2483-5403","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052090099","display_name":"Ju Tang","orcid":"https://orcid.org/0000-0002-6397-1192"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Tang","raw_affiliation_strings":["School of Electrical Engineering and Automation, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080564197","display_name":"Cheng Pan","orcid":"https://orcid.org/0000-0003-4735-5047"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Pan","raw_affiliation_strings":["School of Electrical Engineering and Automation, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4735-5047","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101637729","display_name":"Yang Luo","orcid":"https://orcid.org/0009-0000-5356-2208"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Luo","raw_affiliation_strings":["School of Electrical Engineering and Automation, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083951462","display_name":"Kailai Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kailai Yan","raw_affiliation_strings":["School of Electrical Engineering and Automation, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1539,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.7825594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"119688","last_page":"119696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10511","display_name":"High voltage insulation and dielectric phenomena","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9919000267982483,"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/wavelet","display_name":"Wavelet","score":0.8598495721817017},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.7564021944999695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5975996255874634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5750765800476074},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5144160389900208},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.5045751333236694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5038482546806335},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4948686957359314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4806745946407318},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4529187083244324},{"id":"https://openalex.org/keywords/cascade-algorithm","display_name":"Cascade algorithm","score":0.44692984223365784},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.441104918718338},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.43911799788475037},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4268784523010254},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4125562906265259},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.398792564868927},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09851086139678955},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.05670571327209473}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8598495721817017},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7564021944999695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5975996255874634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5750765800476074},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5144160389900208},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.5045751333236694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5038482546806335},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4948686957359314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4806745946407318},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4529187083244324},{"id":"https://openalex.org/C88829872","wikidata":"https://www.wikidata.org/wiki/Q5048176","display_name":"Cascade algorithm","level":5,"score":0.44692984223365784},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.441104918718338},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.43911799788475037},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4268784523010254},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4125562906265259},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.398792564868927},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09851086139678955},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.05670571327209473},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3006140","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3006140","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09129807.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:89a3de7357344d71bfc3211d3a12816e","is_oa":true,"landing_page_url":"https://doaj.org/article/89a3de7357344d71bfc3211d3a12816e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 119688-119696 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3006140","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3006140","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09129807.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7090792525","display_name":null,"funder_award_id":"2016YFB0900704","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3038581328.pdf","grobid_xml":"https://content.openalex.org/works/W3038581328.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W59771946","https://openalex.org/W1088187922","https://openalex.org/W1550590157","https://openalex.org/W1931803241","https://openalex.org/W1970849377","https://openalex.org/W1972163814","https://openalex.org/W1984488877","https://openalex.org/W1992526455","https://openalex.org/W1996931026","https://openalex.org/W1997461753","https://openalex.org/W2007627365","https://openalex.org/W2012261583","https://openalex.org/W2018332268","https://openalex.org/W2079724595","https://openalex.org/W2101117369","https://openalex.org/W2111561372","https://openalex.org/W2123664929","https://openalex.org/W2129624644","https://openalex.org/W2135209903","https://openalex.org/W2146842127","https://openalex.org/W2154725633","https://openalex.org/W2154780922","https://openalex.org/W2161227676","https://openalex.org/W2164080904","https://openalex.org/W2164317090","https://openalex.org/W2164839015","https://openalex.org/W2167411109","https://openalex.org/W2767856166","https://openalex.org/W2898331399","https://openalex.org/W2904183068","https://openalex.org/W2920214992","https://openalex.org/W2927328165","https://openalex.org/W2942764042","https://openalex.org/W2943250598","https://openalex.org/W2965761706","https://openalex.org/W2970688683","https://openalex.org/W2980095568","https://openalex.org/W3104992617","https://openalex.org/W4255521522"],"related_works":["https://openalex.org/W2144834862","https://openalex.org/W2358271565","https://openalex.org/W2085792030","https://openalex.org/W68308810","https://openalex.org/W2385024119","https://openalex.org/W2391053410","https://openalex.org/W1974952288","https://openalex.org/W2046633342","https://openalex.org/W1983773606","https://openalex.org/W2358694770"],"abstract_inverted_index":{"In":[0,40,96],"electrical":[1],"engineering,":[2],"it":[3,99],"is":[4,34,94,100],"of":[5,13,53],"great":[6],"importance":[7],"to":[8,36,75,102],"monitor":[9],"partial":[10],"discharge":[11],"(PD)":[12],"high":[14],"voltage":[15],"apparatus.":[16],"However,":[17],"on-site":[18],"PD":[19,32,110],"signal":[20,33],"easily":[21],"gets":[22],"corrupted":[23],"by":[24],"white":[25],"noise,":[26],"and":[27,45,70,106,121,125],"hence":[28],"denoising":[29,78],"the":[30,54,85,91,137,141,145],"measured":[31],"necessary":[35],"acquire":[37],"pure":[38],"PD.":[39],"traditional":[41,146],"method,":[42],"single":[43,118],"wavelet":[44,59,89,104],"regular":[46,122],"thresholding":[47,93,108],"are":[48,66,72,113,127],"utilized.":[49],"By":[50],"combining":[51],"wavelets":[52],"same":[55],"family,":[56],"dual-tree":[57],"complex":[58],"pairs":[60],"can":[61],"be":[62],"constructed.":[63],"Specific":[64],"combinations":[65,115],"approximately":[67],"translation":[68],"invariant,":[69],"they":[71,126],"also":[73],"able":[74],"achieve":[76],"better":[77],"effect":[79],"without":[80],"sophisticated":[81],"computation.":[82],"Meanwhile,":[83],"considering":[84],"correlation":[86],"between":[87],"adjacent":[88],"coefficients,":[90],"block":[92,107],"employed.":[95],"this":[97],"paper,":[98],"proposed":[101,142],"combine":[103],"pair":[105,120],"for":[109],"denoising.":[111],"There":[112],"four":[114],"based":[116],"on":[117,133],"wavelet/wavelet":[119],"thresholding/block":[123],"thresholding,":[124],"compared":[128],"with":[129],"each":[130],"other.":[131],"Based":[132],"a":[134],"numerical":[135],"study,":[136],"results":[138],"demonstrate":[139],"that":[140],"algorithm":[143],"outperforms":[144],"method.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
