Transient fault detection method for smart meter circuit based on continuous wavelet transform

In order to effectively improve the accuracy of transient fault detection in smart meter circuits and minimize the outage time of the power grid, a transient fault detection method for smart meter circuits based on continuous wavelet transform is proposed. Analyze the basic circuit structure of the smart meter power module, clarify the power information fluctuation of the input side and output side when the circuit transient fault occurs; based on the equivalent electric field environment, collect the original signal of the smart meter circuit fault when the transmission direction of the smart meter circuit signal wave deviates; use the Butterworth filter to filter the original signal, and obtain the transient fault signal; based on the continuous wavelet transform, extract, Based on the continuous wavelet transform, extract and decompose the feature components in the signal, and output the spatial mutual information containing the continuous wavelet components (transient fault feature signal) to realize the detection of transient faults of smart meter circuits. The experimental results show that the proposed method can effectively obtain the power output information of shallow faults of the circuit, and has better transient fault detection effect. With the increasing number of iterations, the average value of monitoring accuracy of the proposed method is 0.924, and the highest value of monitoring accuracy is 0.979, which shows that the proposed method has high accuracy in detecting transient faults of smart meter circuits, and it can effectively recognize the characteristics of transient faults of circuits.