Partial discharge fault identification method for GIS equipment based on improved deep learning
Weitao Hu,
Jianpeng Li,
Xiaofei Liu
et al.
Abstract:Aiming at the problems of large consumption of computational resources and insufficient data feature extraction in the current partial discharge fault identification process of GIS equipment, a partial discharge fault identification method of GIS equipment based on improved deep learning is proposed. Firstly, the audio information of GIS equipment is filtered by a simple power normalised cepstral coefficient (SPNCC). Secondly, the spatial correlation between audio data streams is obtained by a convolutional ne… Show more
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