Diagnosis of Power Transformer using Fuzzy Clustering and Radial Basis Function Neural Network

@article{Lee2006DiagnosisOP,
  title={Diagnosis of Power Transformer using Fuzzy Clustering and Radial Basis Function Neural Network},
  author={Jong-Pil Lee and Dae Jong Lee and Pyeong-Shik Ji and Jae-Yoon Lim and Sung-Soo Kim},
  journal={The 2006 IEEE International Joint Conference on Neural Network Proceedings},
  year={2006},
  pages={1398-1404}
}
Diagnosis techniques based on the dissolved gas analysis (DGA) have been developed to detect incipient faults in power transformer. There are various methods based on DGA such as IEC, Roger, Dornenburg, and etc. However, these methods have been applied on the different problems with different standards. Also, it is difficult to achieve the diagnosis with accuracy by DGA without experienced experts. In order to resolve theses drawbacks, this paper proposes a novel diagnosis method using fuzzy… CONTINUE READING
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