{"id":"https://openalex.org/W4399882200","doi":"https://doi.org/10.1109/isssr61934.2024.00069","title":"Enhancing Fault Detection in Power Load Management Systems: A Neural Network Approach with Seq2Seq-CNN-LSTM Models","display_name":"Enhancing Fault Detection in Power Load Management Systems: A Neural Network Approach with Seq2Seq-CNN-LSTM Models","publication_year":2024,"publication_date":"2024-03-16","ids":{"openalex":"https://openalex.org/W4399882200","doi":"https://doi.org/10.1109/isssr61934.2024.00069"},"language":"en","primary_location":{"id":"doi:10.1109/isssr61934.2024.00069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isssr61934.2024.00069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Symposium on System Security, Safety, and Reliability (ISSSR)","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/A5005748068","display_name":"Meiling Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiling Feng","raw_affiliation_strings":["North China Electric Power University,School of Electric and Electronic Engineering,Beijing,China","School of Electric and Electronic Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University,School of Electric and Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"School of Electric and Electronic Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763640","display_name":"Shuyang Wang","orcid":"https://orcid.org/0000-0001-9814-2645"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]},{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyang Wang","raw_affiliation_strings":["China Electric Power Research Institute,Beijing,China","China Electric Power Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Electric Power Research Institute,Beijing,China","institution_ids":["https://openalex.org/I153473198","https://openalex.org/I4392738113"]},{"raw_affiliation_string":"China Electric Power Research Institute, Beijing, China","institution_ids":["https://openalex.org/I153473198","https://openalex.org/I4392738113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081712622","display_name":"Haoyang Yu","orcid":"https://orcid.org/0000-0002-4026-7450"},"institutions":[{"id":"https://openalex.org/I200946902","display_name":"Yichun University","ror":"https://ror.org/05h4th693","country_code":"CN","type":"education","lineage":["https://openalex.org/I200946902"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyang Yu","raw_affiliation_strings":["State Grid Yichun Electric Power Supply Company,Yichun,China","State Grid Yichun Electric Power Supply Company, Yichun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Yichun Electric Power Supply Company,Yichun,China","institution_ids":["https://openalex.org/I200946902"]},{"raw_affiliation_string":"State Grid Yichun Electric Power Supply Company, Yichun, China","institution_ids":["https://openalex.org/I200946902"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088132899","display_name":"Qiang Guo","orcid":"https://orcid.org/0000-0001-8003-3942"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiang Guo","raw_affiliation_strings":["State Grid Changyi Electric Power Supply Company,Changyi,China","State Grid Changyi Electric Power Supply Company, Changyi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Changyi Electric Power Supply Company,Changyi,China","institution_ids":[]},{"raw_affiliation_string":"State Grid Changyi Electric Power Supply Company, Changyi, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100365164","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-2643-4822"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["North China Electric Power University,School of Electric and Electronic Engineering,Beijing,China","School of Electric and Electronic Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University,School of Electric and Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"School of Electric and Electronic Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.663,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89351071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"490","last_page":"494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.996999979019165,"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/T14011","display_name":"Elevator Systems and Control","score":0.996999979019165,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T14276","display_name":"Power Systems and Technologies","score":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.7269512414932251},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6297520995140076},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5771660804748535},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5309977531433105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49915385246276855},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.48137834668159485},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.47859808802604675},{"id":"https://openalex.org/keywords/fault-management","display_name":"Fault management","score":0.45848721265792847},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3415745794773102},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13497450947761536},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1340501308441162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7269512414932251},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6297520995140076},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5771660804748535},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5309977531433105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49915385246276855},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.48137834668159485},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.47859808802604675},{"id":"https://openalex.org/C108074857","wikidata":"https://www.wikidata.org/wiki/Q3067360","display_name":"Fault management","level":3,"score":0.45848721265792847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3415745794773102},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13497450947761536},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1340501308441162},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isssr61934.2024.00069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isssr61934.2024.00069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Symposium on System Security, Safety, and Reliability (ISSSR)","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":11,"referenced_works":["https://openalex.org/W2980479774","https://openalex.org/W2989591356","https://openalex.org/W2997351215","https://openalex.org/W3003796083","https://openalex.org/W4200547802","https://openalex.org/W4319430764","https://openalex.org/W4319430921","https://openalex.org/W4379525941","https://openalex.org/W4385688472","https://openalex.org/W4391096217","https://openalex.org/W4391149179"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W2372829958","https://openalex.org/W2382117338","https://openalex.org/W2160179184","https://openalex.org/W2709780619","https://openalex.org/W2117795487"],"abstract_inverted_index":{"This":[0,20,110],"paper":[1],"presents":[2],"a":[3],"groundbreaking":[4],"approach":[5,111],"for":[6,65,82],"fault":[7,34],"detection":[8],"in":[9],"electric":[10,121],"power":[11,122],"load":[12,123],"management":[13,124],"systems":[14],"using":[15],"an":[16],"advanced":[17],"neural":[18],"network.":[19],"network":[21,95],"uniquely":[22],"integrates":[23],"Seq2Seq,":[24],"CNN,":[25],"and":[26,33,86,107,118],"LSTM":[27,78],"models":[28],"to":[29,55,99,114],"enhance":[30],"predictive":[31],"accuracy":[32],"classification.":[35],"The":[36],"Seq2Seq":[37],"model,":[38],"by":[39,104],"learning":[40],"from":[41,68],"historical":[42],"data,":[43,50,71],"facilitates":[44],"the":[45,53,60,69,77,93,116],"prediction":[46,106],"of":[47,120],"future":[48],"sensor":[49],"thus":[51],"providing":[52],"ability":[54],"forecast":[56],"system":[57,101],"states.":[58],"Concurrently,":[59],"CNN":[61],"model":[62,79],"is":[63,80],"utilized":[64],"extracting":[66],"features":[67,85],"predicted":[70],"capturing":[72],"potential":[73,88],"anomalous":[74],"patterns.":[75],"Meanwhile,":[76],"responsible":[81],"classifying":[83],"these":[84],"detecting":[87],"faults.":[89],"Through":[90],"extensive":[91],"experimentation,":[92],"proposed":[94],"demonstrates":[96],"its":[97],"capability":[98],"detect":[100],"faults":[102],"preemptively":[103],"combining":[105],"classification":[108],"methods.":[109],"significantly":[112],"contributes":[113],"improving":[115],"reliability":[117],"efficiency":[119],"systems.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
