A Health Monitoring Method for Miniwatt DC/DC Converters Based on Digital Twins
In response to the requirements for high reliability and long lifespan in space power supplies,a method for health state monitoring of low-power DC/DC converters based on digital twin technology is proposed.Firstly,real-time degradation parameters of the DC/DC converter are continuously updated to establish a"high-fidelity"digital twin model.Secondly,a large number of data samples are generated using the Monte Carlo method based on the virtual entity.The analytic hierarchy process is then employed to determine the weights of different indicators.Weighted Mahalanobis distance is calculated based on the indicator weights to classify the final health level.The effectiveness of the proposed method is validated using the Superbuck converter as an experimental circuit.
digital twinDC/DC converteranalytic hierarchy process(AHP)weighted Mahalanobis distance(WMD)health state monitoring
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万方数据
维普
