DC-DC converter health monitoring and fault prediction method based on multiple SVDD models
A DC-DC, fault prediction technology, applied in the direction of instruments, measuring electricity, measuring devices, etc., can solve the problem of inability to comprehensively and accurately reflect the degradation of circuit performance, and achieve the effect of reducing uncertainty and accurate fault prediction
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[0026] Such as figure 1 As shown, the present invention proposes a DC-DC converter health monitoring and fault prediction method, which comprehensively considers the degradation law of multiple performance parameters of the circuit, extracts the characteristic parameters of the circuit fault based on the multiple SVDD model, and establishes the reference value of the circuit health to perform the health of the circuit Monitoring. When an abnormality is detected, the Gaussian process model is used to predict the time series of the fault characteristic parameters, so as to realize the fault prediction of the circuit. The specific implementation is as follows:
[0027] Step 1. Perform FMMEA analysis on the DC-DC converter, and obtain the main failure modes and fault components according to the analysis results. The severity and occurrence probability of each failure mode are divided into 5 levels, and the severity is represented by 1-5 in turn. The degree of probability and probabi...
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