Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor
Assessment of power transformer conditions is increasing concern in latest years. Dissolved gas in oil analysis (DGA) is successful technique and provided wealth of diagnostic information to detect incipient faults in power transformer. This paper used two methods developed to interpret DGA results...
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my.uitm.ir.929352024-04-23T09:29:55Z https://ir.uitm.edu.my/id/eprint/92935/ Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor Romai Nor, Nur Afiqah Fuzzy logic TK Electrical engineering. Electronics. Nuclear engineering Assessment of power transformer conditions is increasing concern in latest years. Dissolved gas in oil analysis (DGA) is successful technique and provided wealth of diagnostic information to detect incipient faults in power transformer. This paper used two methods developed to interpret DGA results which are Rogers Ratio and IEC Ratio. However, there are situations of errors and misleading results occurring due to borderline and multiple faults. Fuzzy logic is described and implemented as an improved DGA interpretation method that provides higher reliability and precision of fault diagnostics. 2010 Article NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/92935/2/92935.pdf Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor. (2010) pp. 1-6. |
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Fuzzy logic TK Electrical engineering. Electronics. Nuclear engineering |
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Fuzzy logic TK Electrical engineering. Electronics. Nuclear engineering Romai Nor, Nur Afiqah Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor |
| description |
Assessment of power transformer conditions is increasing concern in latest years. Dissolved gas in oil analysis (DGA) is successful technique and provided wealth of diagnostic information to detect incipient faults in power transformer. This paper used two methods developed to interpret DGA results which are Rogers Ratio and IEC Ratio. However, there are situations of errors and misleading results occurring due to borderline and multiple faults. Fuzzy logic is described and implemented as an improved DGA interpretation method that provides higher reliability and precision of fault diagnostics. |
| format |
Article |
| author |
Romai Nor, Nur Afiqah |
| author_facet |
Romai Nor, Nur Afiqah |
| author_sort |
Romai Nor, Nur Afiqah |
| title |
Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor |
| title_short |
Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor |
| title_full |
Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor |
| title_fullStr |
Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor |
| title_full_unstemmed |
Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor |
| title_sort |
fuzzy logic application in dga methods to classify type of faults in oil transformer / nur afiqah romai nor |
| publishDate |
2010 |
| url |
https://ir.uitm.edu.my/id/eprint/92935/2/92935.pdf https://ir.uitm.edu.my/id/eprint/92935/ |
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1797924918156853248 |
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13.211869 |