Hybrid RVM–ANFIS algorithm for transformer fault diagnosis

@inproceedings{Fan2017HybridRA,
  title={Hybrid RVM–ANFIS algorithm for transformer fault diagnosis},
  author={Jingmin Fan and Feng Feng Wang and Qiuqin Sun and Feng Bin and Fangwei Liang and Xuanyi Xiao},
  year={2017}
}
Dissolved gas analysis (DGA) is a popular method for diagnosing faults inside power transformers. However, some of the recorded data for the analysis are with ambiguous characteristic, leading to misdiagnosis of conventional methods. In this work, a hybrid method, which combines the relevance vector machine (RVM) and the adaptive neural fuzzy inference system (ANFIS) has been proposed to address this issue. Given the fuzziness between DGA records and fault type, and to minimise the number of… CONTINUE READING