{"id":"https://openalex.org/W2104245973","doi":"https://doi.org/10.1109/emeit.2011.6022856","title":"GrC and ANN based fault diagnosis method of distribution network","display_name":"GrC and ANN based fault diagnosis method of distribution network","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2104245973","doi":"https://doi.org/10.1109/emeit.2011.6022856","mag":"2104245973"},"language":"en","primary_location":{"id":"doi:10.1109/emeit.2011.6022856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6022856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic &amp; Mechanical Engineering and Information Technology","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/A5101405300","display_name":"Xiaoming Han","orcid":"https://orcid.org/0000-0003-1142-5349"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoming Han","raw_affiliation_strings":["Department of Information Engineering, Taiyuan University of Technology, Taiyuan, China","Department of Information Engineering, Taiyuan University of Technology, Taiyuan, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]},{"raw_affiliation_string":"Department of Information Engineering, Taiyuan University of Technology, Taiyuan, China#TAB#","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042042794","display_name":"Yan Chen","orcid":"https://orcid.org/0000-0002-1139-7141"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Chen","raw_affiliation_strings":["Department of Information Engineering, Taiyuan University of Technology, Taiyuan, China","Department of Information Engineering, Taiyuan University of Technology, Taiyuan, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]},{"raw_affiliation_string":"Department of Information Engineering, Taiyuan University of Technology, Taiyuan, China#TAB#","institution_ids":["https://openalex.org/I9086337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101405300"],"corresponding_institution_ids":["https://openalex.org/I9086337"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13738705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":null,"first_page":"5","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10972","display_name":"Power Systems Fault Detection","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10972","display_name":"Power Systems Fault Detection","score":0.9998000264167786,"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/T12482","display_name":"Tunneling and Rock Mechanics","score":0.9574000239372253,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9301999807357788,"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/computer-science","display_name":"Computer science","score":0.7155965566635132},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.7037411332130432},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6617013216018677},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6576902270317078},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6348953247070312},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5897952914237976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5875116586685181},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5039920210838318},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.4932062029838562},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47550612688064575},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4714449644088745},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.41548702120780945},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.36288827657699585},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.18122297525405884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12586671113967896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7155965566635132},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.7037411332130432},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6617013216018677},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6576902270317078},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6348953247070312},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5897952914237976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5875116586685181},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5039920210838318},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.4932062029838562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47550612688064575},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4714449644088745},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.41548702120780945},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.36288827657699585},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.18122297525405884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12586671113967896},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/emeit.2011.6022856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6022856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic &amp; Mechanical Engineering and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2157070880","https://openalex.org/W2355906102","https://openalex.org/W2362189926","https://openalex.org/W2363173746","https://openalex.org/W2377610428","https://openalex.org/W2380016496"],"related_works":["https://openalex.org/W2508737459","https://openalex.org/W2385082087","https://openalex.org/W2734666672","https://openalex.org/W2013421631","https://openalex.org/W2390772058","https://openalex.org/W2978631811","https://openalex.org/W2381555525","https://openalex.org/W2282249876","https://openalex.org/W2367964367","https://openalex.org/W2374419214"],"abstract_inverted_index":{"In":[0,50],"order":[1],"to":[2,32,69,74,97],"improve":[3,138],"the":[4,34,53,76,84,118,130,134],"accuracy":[5,139],"and":[6,43,58,80,100,107,142],"efficiency":[7],"of":[8,37,40,47,55,60,87,120,140],"fault":[9,121],"diagnosis":[10,21,122,141],"in":[11],"distribution":[12,125],"network,":[13,106,126],"this":[14,51],"paper":[15],"puts":[16],"forward":[17],"an":[18],"intelligent":[19],"hybrid":[20],"system,":[22],"which":[23],"combines":[24],"granular":[25,41,65],"computing":[26,42,66],"theory":[27],"with":[28,103,117],"neural":[29,105],"network":[30],"theory,":[31],"make":[33,98],"best":[35],"use":[36],"rules":[38],"reduction":[39,88],"fault-tolerance":[44],"learning":[45,109,135],"capabilities":[46],"neutral":[48],"network.":[49],"paper,":[52],"concepts":[54],"relative":[56],"granularity":[57],"significance":[59],"attributes":[61],"based":[62],"on":[63],"binary":[64],"are":[67,81,95],"proposed":[68],"select":[70],"reasonable":[71],"input":[72],"variables":[73],"form":[75],"most":[77,91],"simplified":[78,92],"rules,":[79],"used":[82],"as":[83],"heuristic":[85],"information":[86],"algorithm.":[89],"The":[90],"rule":[93],"sets":[94],"called":[96],"modeling":[99],"parameter":[101],"identification":[102],"BP":[104],"then":[108],"training":[110,114,136],"is":[111],"done":[112],"by":[113],"samples.":[115],"Compared":[116],"result":[119],"for":[123],"one":[124],"it":[127],"shows":[128],"that":[129],"method":[131],"can":[132],"reduce":[133],"time,":[137],"have":[143],"better":[144],"fault-tolerance.":[145]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
