{"id":"https://openalex.org/W4324025830","doi":"https://doi.org/10.1142/s0129626423400042","title":"Research on Substation Monitoring and Fault Diagnosis Based on Distributed Computing and Artificial Neural Network","display_name":"Research on Substation Monitoring and Fault Diagnosis Based on Distributed Computing and Artificial Neural Network","publication_year":2023,"publication_date":"2023-03-14","ids":{"openalex":"https://openalex.org/W4324025830","doi":"https://doi.org/10.1142/s0129626423400042"},"language":"en","primary_location":{"id":"doi:10.1142/s0129626423400042","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129626423400042","pdf_url":null,"source":{"id":"https://openalex.org/S18360026","display_name":"Parallel Processing Letters","issn_l":"0129-6264","issn":["0129-6264","1793-642X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Parallel Processing Letters","raw_type":"journal-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/A5112331552","display_name":"Fujun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I151878197","display_name":"Pingdingshan University","ror":"https://ror.org/026c29h90","country_code":"CN","type":"education","lineage":["https://openalex.org/I151878197"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fujun Yang","raw_affiliation_strings":["Pingdingshan Power Supply Company, Pingdingshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pingdingshan Power Supply Company, Pingdingshan, China","institution_ids":["https://openalex.org/I151878197"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100660468","display_name":"Xiaohang Li","orcid":"https://orcid.org/0000-0002-8109-2925"},"institutions":[{"id":"https://openalex.org/I151878197","display_name":"Pingdingshan University","ror":"https://ror.org/026c29h90","country_code":"CN","type":"education","lineage":["https://openalex.org/I151878197"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohang Li","raw_affiliation_strings":["Pingdingshan Power Supply Company, Pingdingshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pingdingshan Power Supply Company, Pingdingshan, China","institution_ids":["https://openalex.org/I151878197"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100660468"],"corresponding_institution_ids":["https://openalex.org/I151878197"],"apc_list":null,"apc_paid":null,"fwci":0.4907,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61412561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"33","issue":"03","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9890999794006348,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9890999794006348,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9758999943733215,"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/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9753000140190125,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7119547128677368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5879756808280945},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5772649645805359},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5594123005867004},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5461931228637695},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5124266743659973},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4206360876560211},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32560810446739197},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29909300804138184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29145094752311707},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11047884821891785},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10424074530601501}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7119547128677368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5879756808280945},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5772649645805359},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5594123005867004},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5461931228637695},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5124266743659973},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4206360876560211},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32560810446739197},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29909300804138184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29145094752311707},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11047884821891785},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10424074530601501},{"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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0129626423400042","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129626423400042","pdf_url":null,"source":{"id":"https://openalex.org/S18360026","display_name":"Parallel Processing Letters","issn_l":"0129-6264","issn":["0129-6264","1793-642X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Parallel Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2065662129","https://openalex.org/W2072857564","https://openalex.org/W2128718068","https://openalex.org/W2201742291","https://openalex.org/W2570138858","https://openalex.org/W2897250207","https://openalex.org/W2898760173","https://openalex.org/W3004399302","https://openalex.org/W3015884445","https://openalex.org/W3033234616","https://openalex.org/W3151304249","https://openalex.org/W4200411312","https://openalex.org/W4244312860","https://openalex.org/W4399896146"],"related_works":["https://openalex.org/W3154635860","https://openalex.org/W4310420093","https://openalex.org/W4226332880","https://openalex.org/W4307377619","https://openalex.org/W4200631625","https://openalex.org/W4298054035","https://openalex.org/W4226138400","https://openalex.org/W1999254672","https://openalex.org/W3049463507","https://openalex.org/W2903347069"],"abstract_inverted_index":{"In":[0,38],"the":[1,15,23,29,41,55,73,76,81,103,107,131,138,146,162,172,182,195,208,219,222,226,230,238,243,256],"Energy":[2],"Conversion":[3],"for":[4,22,50,141,178,191,204],"Next-Generation":[5],"Smart":[6],"Cities,":[7],"intelligent":[8,27,82,163],"substation":[9,46,67,83,253],"plays":[10],"an":[11,19],"important":[12,20],"role":[13],"in":[14,66,171,237],"power":[16],"conversion.":[17],"As":[18],"guarantee":[21],"stable":[24],"operation":[25],"of":[26,45,57,80,90,106,111,134,148,168,186,199,213,229,252,258],"substation,":[28,173],"research":[30],"on":[31],"fault":[32,68,150,179,239,250,259],"diagnosis":[33,44,69,240],"technology":[34,65,128],"is":[35,52,70,234],"particularly":[36],"important.":[37],"this":[39,113],"paper,":[40],"acoustic":[42],"characteristic":[43],"equipment":[47,84,108,169],"(take":[48],"transformers":[49],"example)":[51],"researched":[53],"and":[54,99,152,166,194,207,218,225,254],"application":[56],"\u201cVoice":[58],"Recognition":[59],"+":[60],"artificial":[61],"neural":[62],"network":[63],"(ANN)\u201d":[64],"analyzed.":[71],"At":[72],"same":[74],"time,":[75],"continuous":[77],"online":[78,132],"monitoring":[79,91,133],"will":[85],"produce":[86],"a":[87,120],"large":[88],"amount":[89],"data,":[92],"which":[93,174],"needs":[94],"to":[95,101,129,144],"be":[96],"analyzed":[97],"timely":[98],"effectively":[100],"understand":[102],"operating":[104],"status":[105],"accurately.":[109],"Because":[110],"this,":[112],"paper":[114],"adopts":[115],"distributed":[116,122,158],"computing":[117,123,139,159],"by":[118],"establishing":[119],"real-time":[121],"platform,":[124],"using":[125],"open":[126],"source":[127],"store":[130],"sound":[135,232,251],"data":[136,142,170,176],"into":[137],"platform":[140],"processing":[143],"achieve":[145,255],"purpose":[147,257],"automatic":[149],"detection":[151],"analysis.":[153],"The":[154],"results":[155],"show":[156],"that":[157],"can":[160,246],"realize":[161],"analysis,":[164],"storage,":[165],"visualization":[167],"provides":[175],"support":[177],"diagnosis.":[180,260],"Besides,":[181],"fitting":[183,196,210],"accuracy":[184,197,211],"rates":[185,198,212],"ANN":[187,200,214,244],"model":[188,201,215,245],"are":[189,202,216],"95.123%":[190],"training":[192,205],"process":[193,206],"99.353%":[203],"overall":[209],"95.478%":[217],"error":[220],"between":[221],"predicted":[223],"value":[224,228],"actual":[227],"5":[231],"signals":[233],"within":[235],"5%":[236],"process.":[241],"Consequently,":[242],"accurately":[247],"identify":[248],"each":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}