State Grid Corporation of China

State Grid Tianjin Electric Power Company

Electric Power Science & Research Institute of State Grid Tianjin Electric Power Company

Ziyue Wang

Chi Zhang

Wei Fan

Li Zhang

Kun Wang

Jin He

Rong Chen

Guohao Li

Jian Wang

Liansheng Zhou

Zhiyong Gan

Bin Qu

A GIS mechanical fault diagnosis method and the device are disclosed. The method includes: collecting vibration signals to be measured of various excitation sources of GIS in mechanical operation; performing wavelet packet-feature entropy vector extraction on the vibration signals to be measured, when it is determined that the vibration signals to be measured are abnormal according to standard vibration signals in the normal state; inputting the extracted wavelet packet-feature entropy vectors into the pre-trained BP neural network for GIS mechanical fault identification, and outputting the corresponding fault. The disclosure integrates the vibration signals under the action of various excitation sources, extracts the feature entropy vectors according to the entropy theory, and constructs and trains a BP neural network that can classify and recognize various GIS mechanical faults, so as to perform comprehensive and effective GIS mechanical faults diagnose.

GIS mechanical fault diagnosis method and device

Growing community of inventors

Tianjin, China

Ziyue Wang