Fault Diagnosis for Power Transformers Based on Hybrid Fuzzy Dissolved Gas Analysis
The objective of this paper is to integrate five traditional criteria of the dissolved gases analysis published in different standards into a more reliable approach of the fault diagnosis of power transformer for the power supply department of Taiwan power company. The integrated approach is designed with three steps, including the judgment of the fault factor of power transformer, the identifiable factor of fault condition and the hybrid fault factor and identifiable factor. The implementation is based on fuzzy inference system to obtain the last answer. With precision rate and recall rate, simulation results prove that the method is especially useful in cases when the methods reach different conclusion and is more accurate than each traditional method.
fuzzy inference system,power transformer dissloved gas analysis(DGA)
Chihhsuan Liu Leehter Yao Taili Chen Tungbin Lin Shunyuan Wang
Department of Electrical Engineering National Taipei University of Technology Taipei, Taiwan, R.O.C.
国际会议
上海
英文
854-858
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）