Research On High-frequency Power Supply Fault Detection And Design Of Embedded Systems

The high-frequency power supply gradually replaces the industrial frequency power supply appliedin the ESP for its small size, high efficiency and low power consumption; it can work on energyconservation and emission reduction well. However, due to high circuit integration and complexity,and easily a small fault will lead to collapse of the whole system while in the process of the running ofthe high-frequency power supply, the early detection of the fault and the corresponding treatment arethe necessary conditions to ensure the safety and high efficiency of the system.In this paper, two fault detection methods are proposed for the high-frequency power supply. Onemethod is based on adaptive-PCA which focused on parameters variation and the mutual effectsbetween each other. The parameters include bus voltage, phase current, primary current, secondarycurrent and secondary voltage. Based on the traditional PCA, the real-time model updating isintroduced. It’s first to establish the historical data matrix of normal operating conditions anddetermine the updated data by calculating the similarity of the real-time data with no fault. Then, theimproved iterative algorithm is used to create the real-time PCA model by the combination of thehistorical data and the updated data. Last, the combination of the SPE and T2is applied to achievefault detection. The other method is based on the similarity matching. The primary current ofhigh-frequency power supply is selected to be the study variable and the mean filter is used for thewaveform denoising, and then the similarity between the test data and the library data is calculated bygray-scale projection combined with mix-similarity algorithm. If the match is successful, that is to sayno fault occurs. The simulation of the data collected at the scene in Matlab environment hasdemonstrated the feasibility, accuracy and rapidity of the proposed methods.In order to verify the engineering application value of the proposed method, the ARM embeddedLinux-based system is built to realize the fault detection system of the high-frequency power supplybased on the adaptive-PCA method. Through setting up a hardware platform, configuring an integralsoftware development environment, completing the programming of the buzzer driver and thenprogramming the upper and the lower machine, and at last, simulating the online fault detection of thedata collected at the scene, the experiment result indicates that the method proposed has a certainengineering application and the embedded system has good fault detection ability and interaction.