Fault Diagnosis Method of Switching Circuit Based on Wavelet Transform and ICA Feature Extraction
A technology of wavelet transform and fault diagnosis, applied in the direction of electronic circuit testing, etc., can solve the problems of reducing calculation and fault diagnosis time, failure to achieve fault diagnosis and identification, and inaccurate fault location
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[0121] The present invention will be described in further detail below in conjunction with accompanying drawing and specific embodiment:
[0122] like figure 2 As shown, firstly, the linear feedback shift register (LFSR) is used to generate a periodic pseudo-random sequence, and the length of the pseudo-random sequence is reasonably selected to obtain the band-limited white noise test stimulus. Then define the fault mode, carry out fault simulation, collect the original response data of the circuit, use the Haar wavelet orthogonal filter as the preprocessing system of the acquisition sequence, obtain the low-frequency approximate information and high-frequency detailed information of the original response data, and realize one input and two output . Next, ICA fault feature extraction is carried out, and the differential (negative) entropy, kurtosis and fuzzy sets of the high-frequency and low-frequency output signals are calculated respectively to obtain the optimal fault fe...
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