Research on Traveling Wave Detection of Electrical Equipment Debugging Fault Based on Wavelet Transform

Abstract

Under the background of increasingly updated science and technology, electrical equipment has become more intelligent and automated, but the corresponding equipment structure has become more complex and prone to failure. Correct identification and detection of traveling wave signal after line fault is the key to realize traveling wave protection and fault location. In the process of fault analysis and diagnosis of electrical equipment, it is of great significance to use wavelet transform to detect the fault time of fault signal. The traditional fault point detection method of automatic electrical equipment debugging usually uses gradient diffusion method to confirm fault signal wave, but this method does not analyze signal singularity, and the peak value of signal function obtained is low, so the detection accuracy is not high. In this paper, the wavelet analysis method is applied to the fault diagnosis of electronic equipment. The wavelet energy of excitation signal response output is obtained by wavelet transform, and the traveling wave detection of debugging fault of electrical equipment is completed by combining the fault model. This method improves the fault diagnosis rate, which is of great significance to the application of wavelet theory in fault diagnosis of complex electronic equipment.