Fault diagnosis of HV transmission lines based on wavelet singular value and support vector machine

作者：Gao, Cai-Liang^*; Liao, Zhi-Wei; Yue, Ling; Huang, Shao-Xian

来源：Power System Protection and Control, 2010, 38(6): 35-39+51.

• Coefficient matrix
• Detail coefficients
• Fault diagnosis method
• Fault type identification
• Phase space reconstruction
• Singular values
• Three phase faults
• Transition resistance

Based on the wavelet singular value(WSV) and support vector machines(SVM), a new fault diagnosis method in HV transmission lines is proposed. The new method uses wavelet singular value to quantify the fault signature and combines it with support vector machines for the fault type identification. First of all, using wavelet to decompose the three-phase fault current and obtain the wavelet detail coefficient of the fault signal. Secondly, according to the phase space reconstruction theory, forming the coefficient matrix with the wavelet detail coefficient and obtaining the wavelet singular value by using singular value decomposition to the coefficient matrix. Thirdly, inputting the wavelet singular value into the SVM classifier and identifying the fault type. The simulation results show that the wavelet singular value distribution is obviously different to different faults, and to the same faults, the wavelet singular value distribution is similar under different fault transition resistance and location. SVM has the advantages of less training samples, short training time and high recognition rate.

• 出版日期2010-3-16
• 单位华南理工大学