A latent fault diagnosis method for GIS equipment based on multicomponent data fusion
Weiwen Peng, Xielin Shen, Yuanquan Qian · 2024
In order to further improve the accuracy of latent fault diagnosis, this paper proposes the latent fault diagnosis method of GIS equipment based on multi-component data fusion. Through multi-interface transmission technology, transfer GIS device multi-factor data flow, eliminate the collected data with zero bias errors and eliminate the data of different GIS devices, analyze the multi-component data flow, extract the basis for the latent fault diagnosis model based on Elman neural network to realize the latent fault diagnosis of GIS devices. The experimental results prove that this method has high goodness of fit and diagnostic sensitivity and low misdiagnosis rate, which realizes the improvement of the diagnosis accuracy of latent faults.