A real-time identification method for transient fault of intelligent meter circuit

The identification model based on fault signal frequency has low accuracy due to the influence of surrounding magnetic field. In order to improve the accuracy of real-time identification of transient fault signal of smart meter circuit, from the direction of fault signal processing, a real-time identification method of transient fault of smart meter circuit based on time domain rough detection method is studied. To sample the fault signal of the smart meter circuit and make the fault signal transmit according to the specified route, it is necessary to increase the receiving capacity of the channel. The complex electrical signal is preprocessed by using the wavelet analysis method. The signal after time-domain detection is uniformly redistributed and marked in a relatively simple way; The fault signal fusion model based on wavelet entropy measure adopts the information entropy method to fuse and separate similar fault signals, and determines the transient characteristics of fault circuit signals of all smart meters; A fault signal fusion model based on wavelet entropy measure is constructed to complete the signal screening and decomposition on the signal spectrum, and realize the real-time identification of the transient fault signal of the smart meter circuit. The experimental results show that the difference between the fault voltage curve value identified by this method and the actual value is less than 0.3 V, which has high identification accuracy and certain practical application significance for the four different types of transient faults of the smart meter circuit, i.e. grounding short circuit, two-phase grounding short circuit, phase to phase short circuit and three-phase grounding short circuit.