{"id":"https://openalex.org/W3082745669","doi":"https://doi.org/10.1109/spcom50965.2020.9179572","title":"Dendrogram based Clustering and Separation of Individual and Simultaneously Active Incipient Discharges in Transformer Insulation","display_name":"Dendrogram based Clustering and Separation of Individual and Simultaneously Active Incipient Discharges in Transformer Insulation","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082745669","doi":"https://doi.org/10.1109/spcom50965.2020.9179572","mag":"3082745669"},"language":"en","primary_location":{"id":"doi:10.1109/spcom50965.2020.9179572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom50965.2020.9179572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Signal Processing and Communications (SPCOM)","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/A5043886676","display_name":"Niyas K. Haneefa","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Niyas K Haneefa","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048427112","display_name":"Belaguppa Manjunath Ashwin Desai","orcid":"https://orcid.org/0000-0002-4144-6266"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"B M Ashwin Desai","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043130075","display_name":"R. Sarathi","orcid":"https://orcid.org/0000-0002-1353-9588"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ramanujam Sarathi","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077369107","display_name":"Manivasakan Rathinam","orcid":"https://orcid.org/0000-0001-8001-9366"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manivasakan Rathinam","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043886676"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.08,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34014184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10511","display_name":"High voltage insulation and dielectric phenomena","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10511","display_name":"High voltage insulation and dielectric phenomena","score":0.9998000264167786,"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":0.9984999895095825,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/cluster-analysis","display_name":"Cluster analysis","score":0.7849217653274536},{"id":"https://openalex.org/keywords/dendrogram","display_name":"Dendrogram","score":0.7438985109329224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7155618071556091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6143777370452881},{"id":"https://openalex.org/keywords/partial-discharge","display_name":"Partial discharge","score":0.5669147968292236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515270233154297},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5046955347061157},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4617476761341095},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4529917240142822},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4251854121685028},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19812247157096863}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7849217653274536},{"id":"https://openalex.org/C172312944","wikidata":"https://www.wikidata.org/wiki/Q1957903","display_name":"Dendrogram","level":4,"score":0.7438985109329224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7155618071556091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6143777370452881},{"id":"https://openalex.org/C130143024","wikidata":"https://www.wikidata.org/wiki/Q1929972","display_name":"Partial discharge","level":3,"score":0.5669147968292236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515270233154297},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5046955347061157},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4617476761341095},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4529917240142822},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4251854121685028},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19812247157096863},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C81977670","wikidata":"https://www.wikidata.org/wiki/Q585259","display_name":"Genetic diversity","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom50965.2020.9179572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom50965.2020.9179572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1974705751","https://openalex.org/W2018300877","https://openalex.org/W2040968250","https://openalex.org/W2067063385","https://openalex.org/W2106822551","https://openalex.org/W2119884779","https://openalex.org/W2131368361","https://openalex.org/W2133644696","https://openalex.org/W2139870867","https://openalex.org/W2160334408","https://openalex.org/W2289892517","https://openalex.org/W2343346937","https://openalex.org/W2415401066","https://openalex.org/W2578513661","https://openalex.org/W2592932761","https://openalex.org/W2896296834","https://openalex.org/W2947948000","https://openalex.org/W6732349852"],"related_works":["https://openalex.org/W2393409683","https://openalex.org/W4282008660","https://openalex.org/W2834849852","https://openalex.org/W2536936696","https://openalex.org/W2955994650","https://openalex.org/W2016042781","https://openalex.org/W2066632781","https://openalex.org/W2294135824","https://openalex.org/W3155062245","https://openalex.org/W4401228195"],"abstract_inverted_index":{"Partial":[0],"discharges":[1,27],"in":[2],"transformer":[3],"insulation":[4],"are":[5,137],"of":[6,16,19,26,62,126],"major":[7,21],"concern":[8],"to":[9,39,99,143,165],"utilities":[10],"which":[11],"cause":[12],"the":[13,20,24,74,87,91,101,112,116,122,127,131,145],"catastrophic":[14],"failure":[15],"insulation.":[17],"One":[18],"challenges":[22],"is":[23,37,58,153],"identification":[25],"from":[28,115],"multiple":[29],"sources":[30],"when":[31],"it":[32,36],"occurs":[33],"concurrently.":[34],"Hence":[35],"imperative":[38],"devise":[40],"methods":[41],"for":[42,48,60,72,159,172],"identifying":[43],"and":[44,67,94,121,147,156,163,168],"separating":[45,73],"those":[46],"signals":[47,66,104],"corrective":[49],"measures.":[50],"In":[51],"this":[52],"study,":[53],"an":[54],"unsupervised":[55],"learning":[56],"approach":[57,79,152],"proposed":[59,151],"clustering":[61,78],"individual":[63,102,146,160,164],"partial":[64],"discharge":[65],"then":[68,95],"using":[69,139],"that":[70],"information":[71],"multi-source":[75,148],"signals.":[76,149],"Our":[77],"works":[80],"by":[81,85],"constructing":[82],"a":[83,97,140,154],"dendrogram":[84],"measuring":[86],"cosine":[88],"similarity":[89],"between":[90],"feature":[92,109],"vectors":[93,110],"computing":[96],"threshold,":[98],"group":[100],"source":[103],"into":[105],"different":[106],"clusters.":[107],"The":[108,134,150],"include":[111],"relative":[113],"energies":[114],"wavelet":[117,128],"packet":[118],"decomposed":[119],"tree":[120],"Higuchi":[123],"fractal":[124],"dimension":[125],"coefficients":[129],"at":[130],"terminal":[132],"nodes.":[133],"generated":[135],"clusters":[136],"trained":[138],"classifier":[141],"model":[142],"separate":[144],"simple":[155],"robust":[157],"technique":[158],"cluster":[161,174],"groupings":[162],"multiclass":[166,173],"separations":[167],"could":[169],"be":[170],"used":[171],"groupings.":[175]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
