Automatic Detection Method for High-frequency Harmonic Disturbance Electronic Signals in Inverters
Research on automatic detection method for high-frequency harmonic disturbance electron-ic signals in inverters is conducted.The electronic signal sampling function of the inverter is constructed and the electronic signal sampling results are obtained.Using the improved threshold function to perform wavelet denoising on electronic signals,sparse decomposition is performed on the denoised signals through a hybrid dictionary to determine the high-frequency harmonic disturbance characteristics of electronic sig-nals.Using the BFGS correction quasi Newton algorithm to optimize the gradient and parameters of the BP neural network,the high-frequency harmonic disturbance characteristics of the electronic signal are input into the optimized BP neural network,and the automatic detection results of the high-frequency harmonic disturbance electronic signal of the inverter are obtained.The experimental results show that the proposed method can accurately obtain the electronic signals of the inverter,and the detection error of high-fre-quency harmonic disturbance electronic signals is low,with good results.
inverterhigh frequency harmonic disturbanceelectronic signal detectionimprove the threshold functionhybrid dictionaryoptimize BP neural network
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