{"id":"https://openalex.org/W3021029325","doi":"https://doi.org/10.23919/fruct48808.2020.9087535","title":"Detection of Inter Turn Short Circuit Faults in Induction Motor using Artificial Neural Network","display_name":"Detection of Inter Turn Short Circuit Faults in Induction Motor using Artificial Neural Network","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3021029325","doi":"https://doi.org/10.23919/fruct48808.2020.9087535","mag":"3021029325"},"language":"en","primary_location":{"id":"doi:10.23919/fruct48808.2020.9087535","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct48808.2020.9087535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 26th Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/4467a2a514cd4a6a8c72d5b9253a5bc1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018335512","display_name":"Menshawy A. Mohamed","orcid":"https://orcid.org/0000-0002-6647-3500"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Menshawy Mohamed","raw_affiliation_strings":["Qena Water and Wastewater Company, Qena, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qena Water and Wastewater Company, Qena, Egypt","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054351956","display_name":"Essam E. M. Mohamed","orcid":"https://orcid.org/0000-0003-0328-4865"},"institutions":[{"id":"https://openalex.org/I189575948","display_name":"South Valley University","ror":"https://ror.org/00jxshx33","country_code":"EG","type":"education","lineage":["https://openalex.org/I189575948"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Essam Mohamed","raw_affiliation_strings":["S. Valley University, Qena, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S. Valley University, Qena, Egypt","institution_ids":["https://openalex.org/I189575948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039678136","display_name":"Al-Attar Ali Mohamed","orcid":"https://orcid.org/0000-0001-6317-5295"},"institutions":[{"id":"https://openalex.org/I86310350","display_name":"Aswan University","ror":"https://ror.org/048qnr849","country_code":"EG","type":"education","lineage":["https://openalex.org/I86310350"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Al-Attar Mohamed","raw_affiliation_strings":["Aswan University, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aswan University, Egypt","institution_ids":["https://openalex.org/I86310350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015854284","display_name":"Mohamed Abdel\u2010Nasser","orcid":"https://orcid.org/0000-0002-1074-2441"},"institutions":[{"id":"https://openalex.org/I86310350","display_name":"Aswan University","ror":"https://ror.org/048qnr849","country_code":"EG","type":"education","lineage":["https://openalex.org/I86310350"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Abdel-Nasser","raw_affiliation_strings":["Aswan University, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aswan University, Egypt","institution_ids":["https://openalex.org/I86310350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085401911","display_name":"Mohamed Hassan","orcid":"https://orcid.org/0000-0001-6116-6707"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Moustafa Hassan","raw_affiliation_strings":["Cairo University, Giza, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018335512"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6367,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.83206474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","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/T10220","display_name":"Machine Fault Diagnosis Techniques","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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.8296507000923157},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7052335739135742},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6834143400192261},{"id":"https://openalex.org/keywords/stator","display_name":"Stator","score":0.6613167524337769},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6392697095870972},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5785142183303833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5778499245643616},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.567940354347229},{"id":"https://openalex.org/keywords/induction-motor","display_name":"Induction motor","score":0.5343550443649292},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5089919567108154},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4932679533958435},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33162981271743774},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08620867133140564},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08398577570915222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8296507000923157},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7052335739135742},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6834143400192261},{"id":"https://openalex.org/C2776529397","wikidata":"https://www.wikidata.org/wiki/Q190312","display_name":"Stator","level":2,"score":0.6613167524337769},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6392697095870972},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5785142183303833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5778499245643616},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.567940354347229},{"id":"https://openalex.org/C80962145","wikidata":"https://www.wikidata.org/wiki/Q207450","display_name":"Induction motor","level":3,"score":0.5343550443649292},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5089919567108154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4932679533958435},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33162981271743774},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08620867133140564},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08398577570915222},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fruct48808.2020.9087535","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct48808.2020.9087535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 26th Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:4467a2a514cd4a6a8c72d5b9253a5bc1","is_oa":true,"landing_page_url":"https://doaj.org/article/4467a2a514cd4a6a8c72d5b9253a5bc1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 297-304 (2020)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:4467a2a514cd4a6a8c72d5b9253a5bc1","is_oa":true,"landing_page_url":"https://doaj.org/article/4467a2a514cd4a6a8c72d5b9253a5bc1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 297-304 (2020)","raw_type":"article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1574862494","https://openalex.org/W2050462101","https://openalex.org/W2108780459","https://openalex.org/W2515534174","https://openalex.org/W2615852472","https://openalex.org/W2767634046","https://openalex.org/W2791031900","https://openalex.org/W2791517499","https://openalex.org/W2807994360","https://openalex.org/W2898366730","https://openalex.org/W2911864601","https://openalex.org/W2913074216","https://openalex.org/W2916260947","https://openalex.org/W2920858334","https://openalex.org/W2947658250","https://openalex.org/W2950335759","https://openalex.org/W2950939244","https://openalex.org/W2952063199","https://openalex.org/W2957175838","https://openalex.org/W2998026245","https://openalex.org/W6634529017","https://openalex.org/W6755738359","https://openalex.org/W6772657278"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W4393666307","https://openalex.org/W3210764983","https://openalex.org/W4393443811","https://openalex.org/W2386294322","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W4396816114"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,37,41,128,167],"new":[4],"method":[5,117,126],"using":[6,159],"Artificial":[7],"Neural":[8],"Network":[9],"(ANN)":[10],"for":[11,108],"detection":[12],"of":[13,114,144,153],"different":[14,26,142],"Inter":[15],"Turn":[16],"Short":[17],"Circuit":[18],"(ITSC)":[19],"faults":[20,147,165],"in":[21,68,166],"an":[22,66],"induction":[23,172],"motor":[24,39,43],"under":[25],"loading":[27],"conditions.":[28],"The":[29,47,112,151],"stator":[30,55],"current":[31,56],"signal":[32],"was":[33,52,118],"obtained":[34],"experimentally":[35],"from":[36,54,84],"healthy":[38],"and":[40,64,86,103],"faulty":[42],"with":[44,120,148],"ITSC":[45,72,110,146],"faults.":[46,73,111],"statistical":[48],"time":[49],"domain":[50],"features":[51,59],"extracted":[53],"signal,":[57],"these":[58],"are":[60,138],"used":[61],"to":[62,70,140,162],"train":[63],"test":[65],"ANN":[67,85],"order":[69],"diagnose":[71,163],"A":[74],"complete":[75],"study":[76],"is":[77],"performed":[78],"by":[79],"considering":[80],"various":[81],"diagnosis":[82,109],"methods":[83],"machine":[87,121],"learning":[88,122],"algorithms,":[89,123],"including":[90],"Decision":[91],"Tree":[92],"(DT),":[93],"K-Nearest":[94],"Neighbors":[95],"(KNN),":[96],"Naive":[97],"Bayes":[98],"(NB),":[99],"Random":[100],"Forest":[101],"(RF)":[102],"Support":[104],"Vector":[105],"Machine":[106],"(SVM)":[107],"performance":[113],"the":[115,124,132,145],"proposed":[116,125],"compared":[119],"has":[127,156],"higher":[129],"accuracy":[130],"than":[131],"other":[133],"algorithms.":[134],"Trained":[135],"neural":[136],"networks":[137],"able":[139],"classify":[141],"states":[143],"satisfied":[149],"accuracy.":[150],"efficiency":[152],"this":[154],"approach":[155],"been":[157],"proven":[158],"experimental":[160],"tests":[161],"ITCS":[164],"1.":[168],"5Hp":[169],"squirrel":[170],"cage":[171],"motor.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}