Abstract
Considering the difficulties in fault diagnosis for analog circuit, a combination method based on Wavelet Neural Network (WNN) method and Unscented Kalman Filter (UKF) algorithm is proposed for improvement of diagnosis accuracy. In the method, UKF algorithm is used to optimize the network parameters of WNN, which can train WNN fault diagnosis model for analog circuit. The experiment result shows that, compared with traditional WNN, the proposed method has better diagnosis accuracy for the fault in analog circuit.
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