{"id":"https://openalex.org/W4393208119","doi":"https://doi.org/10.1145/3640115.3640155","title":"Study and Field Application of GIS Multipoint Discharge Separation Technology Based on Amplitude Ratio Clustering","display_name":"Study and Field Application of GIS Multipoint Discharge Separation Technology Based on Amplitude Ratio Clustering","publication_year":2023,"publication_date":"2023-11-03","ids":{"openalex":"https://openalex.org/W4393208119","doi":"https://doi.org/10.1145/3640115.3640155"},"language":"en","primary_location":{"id":"doi:10.1145/3640115.3640155","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3640115.3640155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5067810593","display_name":"Guangzhen Liu","orcid":"https://orcid.org/0000-0001-9578-9574"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guangzhen Liu","raw_affiliation_strings":["State Grid Tianjin Electric Power Company, China"],"raw_orcid":"https://orcid.org/0000-0001-9578-9574","affiliations":[{"raw_affiliation_string":"State Grid Tianjin Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704038","display_name":"Pengbo Wang","orcid":"https://orcid.org/0000-0003-3262-1621"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengbo Wang","raw_affiliation_strings":["State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0003-3262-1621","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004382988","display_name":"Jin He","orcid":"https://orcid.org/0000-0001-6318-4474"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin He","raw_affiliation_strings":["State Grid Tianjin Electric Power Company, China"],"raw_orcid":"https://orcid.org/0000-0001-6318-4474","affiliations":[{"raw_affiliation_string":"State Grid Tianjin Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003435098","display_name":"Qiong Fang","orcid":"https://orcid.org/0000-0001-6644-9861"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiong Fang","raw_affiliation_strings":["State Grid Tianjin Electric Power Company, China"],"raw_orcid":"https://orcid.org/0000-0001-6644-9861","affiliations":[{"raw_affiliation_string":"State Grid Tianjin Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085505327","display_name":"Renda Chen","orcid":"https://orcid.org/0000-0002-4732-6943"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rong Chen","raw_affiliation_strings":["State Grid Tianjin Electric Power Company, China"],"raw_orcid":"https://orcid.org/0000-0002-4732-6943","affiliations":[{"raw_affiliation_string":"State Grid Tianjin Electric Power Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102891352","display_name":"Qi Zhao","orcid":"https://orcid.org/0000-0003-2305-4485"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi Zhao","raw_affiliation_strings":["State Grid Tianjin Electric Power Company, China"],"raw_orcid":"https://orcid.org/0000-0003-2305-4485","affiliations":[{"raw_affiliation_string":"State Grid Tianjin Electric Power Company, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013531004","display_name":"Yue Mei Han","orcid":"https://orcid.org/0009-0009-7448-4152"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Han","raw_affiliation_strings":["State Grid Tianjin Electric Power Company, China"],"raw_orcid":"https://orcid.org/0009-0009-7448-4152","affiliations":[{"raw_affiliation_string":"State Grid Tianjin Electric Power Company, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"251","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9577000141143799,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9577000141143799,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9320999979972839,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.7596644163131714},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.690308153629303},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6169004440307617},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.5289478302001953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37427818775177},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17341077327728271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14012813568115234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1213274896144867},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.108405202627182},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.05917918682098389}],"concepts":[{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.7596644163131714},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.690308153629303},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6169004440307617},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.5289478302001953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37427818775177},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17341077327728271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14012813568115234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1213274896144867},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.108405202627182},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.05917918682098389},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3640115.3640155","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3640115.3640155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.800000011920929,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2092981723","https://openalex.org/W2110626476","https://openalex.org/W2138621811","https://openalex.org/W2168931656","https://openalex.org/W4239007999"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2071676784","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4292513318","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3],"GIS":[4,23,27],"multi-point":[5,50,69],"discharge":[6,41,59,83,97,134],"separation":[7],"technology":[8,36],"based":[9],"on":[10],"amplitude":[11],"ratio":[12],"clustering,":[13],"which":[14],"has":[15,31,108],"been":[16,32],"validated":[17],"through":[18],"experiments":[19],"in":[20,71],"the":[21,40,53,63,79,89,100,117,123,127],"air,":[22],"laboratory":[24],"validation,":[25],"and":[26,55,61,92,111,122,142,149],"on-site":[28],"detection.":[29],"It":[30,73],"proven":[33],"that":[34,77],"this":[35,106],"can":[37,138],"effectively":[38],"separate":[39,49],"spectra":[42],"after":[43],"multiple":[44],"discharges":[45,70],"are":[46,85,103,147],"superimposed,":[47],"accurately":[48],"discharges,":[51],"facilitate":[52],"identification":[54],"positioning":[56],"of":[57,65,81,95,119,125,130],"various":[58],"sources,":[60],"improve":[62],"accuracy":[64],"defect":[66],"diagnosis":[67],"for":[68],"GIS.":[72],"is":[74],"worth":[75],"noting":[76],"when":[78],"positions":[80,118],"different":[82,120,133],"sources":[84,135],"relatively":[86,104],"close":[87],"or":[88],"propagation":[90,128],"path":[91,129],"energy":[93],"attenuation":[94],"partial":[96],"signals":[98,131],"between":[99],"two":[101],"sensors":[102,121,137],"close,":[105],"method":[107],"certain":[109],"limitations":[110],"large":[112],"errors.":[113],"However,":[114],"by":[115],"adjusting":[116],"orientation":[124],"sensors,":[126],"from":[132],"to":[136],"be":[139],"changed":[140],"manually,":[141],"then":[143],"separated.":[144],"The":[145],"results":[146],"accurate":[148],"reliable":[150]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}