{"id":"https://openalex.org/W2920719103","doi":"https://doi.org/10.1109/access.2019.2902598","title":"An Innovative Minimum Hitting Set Algorithm for Model-Based Fault Diagnosis in Power Distribution Network","display_name":"An Innovative Minimum Hitting Set Algorithm for Model-Based Fault Diagnosis in Power Distribution Network","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2920719103","doi":"https://doi.org/10.1109/access.2019.2902598","mag":"2920719103"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2902598","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2902598","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08657679.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08657679.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079059503","display_name":"Qiujie Wang","orcid":"https://orcid.org/0000-0002-1051-9303"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qiujie Wang","raw_affiliation_strings":["Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038370496","display_name":"Tao Jin","orcid":"https://orcid.org/0000-0003-3829-4545"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Jin","raw_affiliation_strings":["Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061901055","display_name":"Mohamed A. Mohamed","orcid":"https://orcid.org/0000-0001-8700-0270"},"institutions":[{"id":"https://openalex.org/I89466785","display_name":"Minia University","ror":"https://ror.org/02hcv4z63","country_code":"EG","type":"education","lineage":["https://openalex.org/I89466785"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed A. Mohamed","raw_affiliation_strings":["Electrical Engineering Department, Minia University, Minia, Egypt"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Minia University, Minia, Egypt","institution_ids":["https://openalex.org/I89466785"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079059503"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.6929,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92280676,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"30683","last_page":"30692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.9994999766349792,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9961000084877014,"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/T10972","display_name":"Power Systems Fault Detection","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inefficiency","display_name":"Inefficiency","score":0.7356674075126648},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.7275422215461731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6684306263923645},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5984104871749878},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5606959462165833},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.559287428855896},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5294144749641418},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45420169830322266},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.4503525495529175},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4463460147380829},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3626072108745575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20375829935073853},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18429893255233765},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.08895888924598694}],"concepts":[{"id":"https://openalex.org/C2778869765","wikidata":"https://www.wikidata.org/wiki/Q6028363","display_name":"Inefficiency","level":2,"score":0.7356674075126648},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.7275422215461731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684306263923645},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5984104871749878},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5606959462165833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.559287428855896},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5294144749641418},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45420169830322266},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.4503525495529175},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4463460147380829},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3626072108745575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20375829935073853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18429893255233765},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.08895888924598694},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2902598","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2902598","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08657679.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eecd5c9b607a48ad99d6bd37f40101cb","is_oa":true,"landing_page_url":"https://doaj.org/article/eecd5c9b607a48ad99d6bd37f40101cb","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 30683-30692 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2902598","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2902598","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08657679.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2920719103.pdf","grobid_xml":"https://content.openalex.org/works/W2920719103.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1494294191","https://openalex.org/W1597576211","https://openalex.org/W1829376396","https://openalex.org/W1891686678","https://openalex.org/W1986415487","https://openalex.org/W1986810948","https://openalex.org/W1995781098","https://openalex.org/W2013255240","https://openalex.org/W2033969310","https://openalex.org/W2067007771","https://openalex.org/W2088129197","https://openalex.org/W2091662593","https://openalex.org/W2092666283","https://openalex.org/W2119368814","https://openalex.org/W2128979751","https://openalex.org/W2155601641","https://openalex.org/W2162661453","https://openalex.org/W2187399757","https://openalex.org/W2215115181","https://openalex.org/W2329135278","https://openalex.org/W2342543955","https://openalex.org/W2342611195","https://openalex.org/W2344353808","https://openalex.org/W2350728995","https://openalex.org/W2358941314","https://openalex.org/W2365159097","https://openalex.org/W2368523619","https://openalex.org/W2587536981","https://openalex.org/W2588373965","https://openalex.org/W2608163979","https://openalex.org/W2742846146","https://openalex.org/W2783400312","https://openalex.org/W2789421875","https://openalex.org/W2807304670","https://openalex.org/W2890845734","https://openalex.org/W2893725597","https://openalex.org/W2905726808","https://openalex.org/W3216647352","https://openalex.org/W6629597612","https://openalex.org/W6636766692","https://openalex.org/W6639394754","https://openalex.org/W6684148982"],"related_works":["https://openalex.org/W2264067234","https://openalex.org/W3124243301","https://openalex.org/W1571502335","https://openalex.org/W1589409554","https://openalex.org/W2759038785","https://openalex.org/W2172232600","https://openalex.org/W3123876860","https://openalex.org/W3124172198","https://openalex.org/W2046181650","https://openalex.org/W2142633247"],"abstract_inverted_index":{"The":[0,44,64],"distribution":[1,37,116,159],"network":[2,38,117,160],"plays":[3],"a":[4,124,131],"great":[5],"role":[6,33],"in":[7,14,34,171],"the":[8,18,24,36,51,60,73,80,86,92,95,110,115,121,142,145,158,165,168,174],"power":[9,25,41],"system,":[10],"and":[11,20,39,76,82,112,155,177],"any":[12],"fault":[13,28,77],"it":[15],"may":[16],"threaten":[17],"safe":[19],"stable":[21],"operation":[22],"of":[23,50,85,94,114,147,167,173],"system.":[26],"Hence,":[27],"diagnosis":[29,46,62,69],"has":[30],"an":[31,104],"important":[32],"protecting":[35],"maintaining":[40],"system":[42],"stability.":[43],"model-based":[45],"(MBD)":[47],"is":[48,118,128],"one":[49],"diagnostic":[52],"methods":[53],"that":[54],"have":[55],"some":[56],"advantages":[57,166],"compared":[58],"with":[59],"common":[61],"methods.":[63],"latter,":[65],"such":[66],"as":[67],"expert":[68],"systems":[70],"depend":[71],"on":[72,157],"professional":[74],"experience":[75],"information.":[78],"However,":[79],"inefficiency":[81],"incomplete":[83],"calculation":[84],"minimum":[87],"hitting":[88],"set":[89,149],"(MHS)":[90],"limits":[91],"performance":[93],"MBD.":[96],"In":[97,120],"this":[98],"paper,":[99],"to":[100,138,163],"overcome":[101],"these":[102],"limitations,":[103],"innovative":[105],"MHS":[106,143],"algorithm":[107],"which":[108,135],"considers":[109],"nature":[111],"characteristics":[113],"proposed.":[119],"proposed":[122,169],"algorithm,":[123,170],"new":[125],"fitness":[126],"function":[127],"constructed":[129],"by":[130],"weighted":[132],"combination":[133],"method,":[134],"allows":[136],"particles":[137],"move":[139],"directly":[140],"toward":[141],"without":[144],"effect":[146],"non-hitting":[148],"particles.":[150],"Finally,":[151],"three":[152],"cases":[153],"studies":[154],"discussion":[156],"are":[161],"introduced":[162],"validate":[164],"terms":[172],"computation":[175],"efficiency":[176],"accuracy.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
