Abstract：With the application of power cable becoming more and more widespread, the power sector is increasing the demands for accuracy and timeliness of cable fault location. Feature recognition of fault traveling wave is the key to fault location. This paper presents a feature extraction method of fault traveling wave based on combination of time-domain characteristics and wavelet analysis, which firstly filters noise of the original signal using adaptive threshold method, then applies differential and wavelet analysis algorithms to extracting the characteristics of starting point of two adjacent reflection waves, finally calculates the fault distance. Experimental results show that this method improves the accuracy of cable fault location, which has a certain practical application value.
李文国, 马秉宇. 基于时域特征和小波分析的故障行波特征识别方法[J]. 电气技术, 2017, 18(5): 30-33.
Li Wenguo, Ma Bingyu. The Method of Fault Traveling Wave Feature Recognition based on Time-Domain Characteristics and Wavelet Analysis. Electrical Engineering, 2017, 18(5): 30-33.
2017, Vol. 18 
