公开(公告)号：US20210167584A1

公开(公告)日：2021-06-03

申请号：US17117106

申请日：2020-12-09

申请人： Electric Power Science & Research Institute of State Grid Tianjin Electric Power Company ,  State Grid Tianjin Electric Power Company ,  State Grid Corporation of China

发明人： Bin Qu ,  Li Zhang ,  Rong Chen ,  Liansheng Zhou ,  Zhiyong Gan ,  Chi Zhang ,  Guohao Li ,  Jin He ,  Kun Wang ,  Ziyue Wang ,  Jian Wang ,  Wei Fan

IPC分类号： H02B13/065 ,  G06K9/00 ,  G06N3/063 ,  G06N3/08 ,  G06N3/04

摘要： 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.