High-frequency resonant soft switch circuit fault prediction method and high-frequency resonant soft switch circuit fault prediction device based on compressed sensing

Abstract

The invention discloses a high-frequency resonant soft switch circuit fault prediction method and a high-frequency resonant soft switch circuit fault prediction device based on compressed sensing. Characteristic parameters are sampled based on compressed sensing, generation of massive data is avoided, and the difficulty coefficient of data processing is reduced. Fault prediction is carried out on a high-frequency resonant soft switch based on chaos, the maximum Lipschitz exponent is calculated by taking current and historical recovery signals as a data basis, the maximum Lipschitz exponent is used to predict the fault of the high-frequency resonant soft switch, and the accuracy of fault prediction is improved. A multivariate time series is built based on the recovery signals of seven characteristic parameters, and the multivariate time series is of information completeness and can overcome the noise effect on the accuracy of fault prediction. The input signals of the characteristic parameters are sparsely transformed, an irrelevant linear measurement matrix is designed according to the sparse transform base, and during sampling of the characteristic parameters based on compressed sensing, the linear measurement matrix is used to linearly measure original signals to provide an accurate data basis for signal recovery.

Description

technical field [0001] The invention relates to a fault prediction method and device for a switching power supply, in particular to a high-frequency resonance soft switching circuit fault prediction method and device based on compressed sensing. Background technique [0002] Because of its small size and high efficiency, switching power supply is widely used in various circuit systems. Using high-frequency resonant soft switching technology to make switching power supplies can make switching power supplies more efficient, smaller in size, higher in switching frequency, higher in reliability, and lower in noise. In the high-frequency resonant soft-switching power supply, the high-frequency resonant soft-switching circuit is its core circuit, and its performance is directly related to the technical indicators and operation stability of the circuit system. Once a failure occurs, it will cause the entire circuit system to fail or Stop work, cause economic losses, and even endan...

AI Technical Summary

Problems solved by technology

[0004] The invention provides a method and device for fault prediction of high-frequency resonant soft switching circuits based on compressed sensing, which solves the problems of low fault prediction accuracy and high difficulty coefficient of data processing

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