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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| Format: | Article |
| Language: | English |
| Published: |
2010
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| Online Access: | https://ir.uitm.edu.my/id/eprint/92935/2/92935.pdf https://ir.uitm.edu.my/id/eprint/92935/ |
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| Summary: | 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. |
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