{"id":"https://openalex.org/W3091784365","doi":"https://doi.org/10.1109/access.2020.3028689","title":"Comparative Study of Full and Reduced Feature Scenarios for Health Index Computation of Power Transformers","display_name":"Comparative Study of Full and Reduced Feature Scenarios for Health Index Computation of Power Transformers","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3091784365","doi":"https://doi.org/10.1109/access.2020.3028689","mag":"3091784365"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3028689","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3028689","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09212433.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8948470/09212433.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045071979","display_name":"Sherif S. M. Ghoneim","orcid":"https://orcid.org/0000-0002-9387-1950"},"institutions":[{"id":"https://openalex.org/I130009713","display_name":"Suez University","ror":"https://ror.org/00ndhrx30","country_code":"EG","type":"education","lineage":["https://openalex.org/I130009713"]},{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["EG","SA"],"is_corresponding":true,"raw_author_name":"Sherif S. M. Ghoneim","raw_affiliation_strings":["College of Engineering, Taif University, Taif, Saudi Arabia","Faculty of Technology and Education, Suez University, Suez, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-9387-1950","affiliations":[{"raw_affiliation_string":"College of Engineering, Taif University, Taif, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]},{"raw_affiliation_string":"Faculty of Technology and Education, Suez University, Suez, Egypt","institution_ids":["https://openalex.org/I130009713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040134290","display_name":"Ibrahim B. M. Taha","orcid":"https://orcid.org/0000-0003-2217-6923"},"institutions":[{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]},{"id":"https://openalex.org/I21376657","display_name":"Tanta University","ror":"https://ror.org/016jp5b92","country_code":"EG","type":"education","lineage":["https://openalex.org/I21376657"]}],"countries":["EG","SA"],"is_corresponding":false,"raw_author_name":"Ibrahim B. M. Taha","raw_affiliation_strings":["College of Engineering, Taif University, Taif, Saudi Arabia","Faculty of Engineering, Tanta University, Tanta, Egypt"],"raw_orcid":"https://orcid.org/0000-0003-2217-6923","affiliations":[{"raw_affiliation_string":"College of Engineering, Taif University, Taif, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]},{"raw_affiliation_string":"Faculty of Engineering, Tanta University, Tanta, Egypt","institution_ids":["https://openalex.org/I21376657"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045071979"],"corresponding_institution_ids":["https://openalex.org/I130009713","https://openalex.org/I179331831"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7683,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.85251018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"181326","last_page":"181339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":1.0,"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/T10511","display_name":"High voltage insulation and dielectric phenomena","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11222","display_name":"Magnetic Properties and Applications","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7174731492996216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6349455118179321},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5267894864082336},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5030099749565125},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4951407015323639},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4814419150352478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4627091884613037},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.43609851598739624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3941066861152649},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23973029851913452},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16366174817085266}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7174731492996216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6349455118179321},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5267894864082336},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5030099749565125},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4951407015323639},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4814419150352478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4627091884613037},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43609851598739624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3941066861152649},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23973029851913452},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16366174817085266},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3028689","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3028689","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09212433.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:57fd802e3de6490cba5119c67d7763d4","is_oa":true,"landing_page_url":"https://doaj.org/article/57fd802e3de6490cba5119c67d7763d4","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":"IEEE Access, Vol 8, Pp 181326-181339 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3028689","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3028689","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09212433.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G287866864","display_name":null,"funder_award_id":"TURSP-2020/34","funder_id":"https://openalex.org/F4320323722","funder_display_name":"Taif University"},{"id":"https://openalex.org/G7299194679","display_name":null,"funder_award_id":"TURSP-2020","funder_id":"https://openalex.org/F4320323722","funder_display_name":"Taif University"}],"funders":[{"id":"https://openalex.org/F4320323722","display_name":"Taif University","ror":"https://ror.org/014g1a453"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3091784365.pdf","grobid_xml":"https://content.openalex.org/works/W3091784365.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1984636526","https://openalex.org/W1988097236","https://openalex.org/W1988400047","https://openalex.org/W2031757379","https://openalex.org/W2051542965","https://openalex.org/W2084575229","https://openalex.org/W2127234432","https://openalex.org/W2131987814","https://openalex.org/W2140417752","https://openalex.org/W2344696956","https://openalex.org/W2474047844","https://openalex.org/W2475596014","https://openalex.org/W2577627646","https://openalex.org/W2602377377","https://openalex.org/W2738112252","https://openalex.org/W2746633539","https://openalex.org/W2753676244","https://openalex.org/W2766313919","https://openalex.org/W2767672119","https://openalex.org/W2767762497","https://openalex.org/W2771918728","https://openalex.org/W2787337767","https://openalex.org/W2792128614","https://openalex.org/W2803229189","https://openalex.org/W2863257163","https://openalex.org/W2892442579","https://openalex.org/W2913950581","https://openalex.org/W2918218571","https://openalex.org/W2945639261","https://openalex.org/W2960944079","https://openalex.org/W2960947282","https://openalex.org/W2967663220","https://openalex.org/W2968688692","https://openalex.org/W3016244550","https://openalex.org/W3028288947","https://openalex.org/W3045707326","https://openalex.org/W3103707007","https://openalex.org/W6766576792"],"related_works":["https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3193043704","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4313289487","https://openalex.org/W4321636153"],"abstract_inverted_index":{"Power":[0],"transformer":[1],"health":[2],"index":[3],"(PTHI)":[4],"computation":[5,34,209],"is":[6,35,53,78,112,137,187,199,218],"performed":[7,36],"based":[8],"on":[9],"the":[10,47,57,88,103,106,109,116,126,130,134,142,164,174,177,190,196,203,208,212],"results":[11,90],"of":[12,108,133,176,207,225],"different":[13],"tests,":[14],"such":[15],"as":[16],"dissolved":[17],"gas":[18],"analysis":[19],"(DGA),":[20],"oil":[21],"quality":[22],"(OQ)":[23],"evaluation,":[24],"and":[25,43,73,98,129,168,192,205,211],"depolarization":[26],"factor":[27,100],"(DP)":[28],"testing.":[29],"In":[30,102],"this":[31],"study,":[32],"PTHI":[33,58,117,135],"using":[37],"631":[38],"dataset":[39],"samples":[40,45],"from":[41,46],"Malaysia":[42],"730":[44],"Gulf":[48],"Region.":[49],"A":[50,182],"new":[51],"model":[52,77,144,217],"proposed":[54,127,143,216],"to":[55,114,125,162,201,227],"predict":[56,115],"state":[59,136],"by":[60],"adopting":[61],"intelligent":[62],"classification":[63,121,147],"methods":[64,122],"(e.g.,":[65],"decision":[66],"tree,":[67],"support":[68],"vector":[69],"machine,":[70],"k-nearest":[71],"neighbor,":[72],"ensemble":[74],"methods).":[75],"The":[76,84,119,170,215],"built":[79],"via":[80],"two-stage":[81],"data":[82],"processing.":[83],"first":[85],"stage":[86],"separates":[87],"test":[89],"into":[91],"three":[92,110],"modules":[93,111],"that":[94,141],"represent":[95],"DGA,":[96],"OQ,":[97],"DP":[99],"codes.":[101],"second":[104],"stage,":[105],"output":[107],"processed":[113],"state.":[118],"four":[120],"are":[123,160],"applied":[124,161],"model,":[128],"prediction":[131],"accuracy":[132,148,186],"determined.":[138],"Results":[139],"indicate":[140],"has":[145],"superior":[146],"for":[149],"each":[150],"AI":[151],"method":[152],"compared":[153],"with":[154],"recent":[155],"work.":[156],"Furthermore,":[157],"feature":[158,179],"reductions":[159],"minimize":[163],"testing":[165],"time,":[166],"effort,":[167],"costs.":[169],"reduced-feature":[171,193,197],"models":[172],"reveal":[173],"effectiveness":[175],"adopted":[178],"reduction":[180],"technique.":[181],"slight":[183],"difference":[184],"in":[185,223],"observed":[188],"between":[189],"full-":[191],"scenarios.":[194],"Thus,":[195],"scenario":[198],"considered":[200],"decrease":[202],"effort":[204],"time":[206],"process":[210],"experimental":[213],"cost.":[214],"validated":[219],"against":[220],"uncertain":[221],"noise":[222],"features":[224],"up":[226],"\u00b120%.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
