Research on Portable Cable Recognition Electronic Equipment System Based on Computer Signal Simulation

This system uses C8051F020 microcontroller. Then the fault detection system of multi-core cable is designed. Then this paper proposes a power cable fault diagnosis model based on neural network and a power cable data processing algorithm based on S transform. The algorithm is based on the eigenvector of complex time-frequency matrix combined with information entropy and SVD. The method takes power cable fault characteristic vector as input. The weights and bias parameters of deep neural networks are modified by using stochastic gradient dimensionality reduction method. This enables accurate identification of cable faults. The insulation status of power cable is monitored in real time by measuring the leakage current, local pulse current, ambient temperature and ambient humidity. The accuracy of this method is verified by computer simulation and field measurement data.