Tianjin University

State Grid Corporation of China

State Grid Tianjin Electric Power Company

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

Guohao Li

Chi Zhang

Wei Fan

Xiandong Xu

Li Zhang

Lidong Zhang

Jin He

Kun Wang

Rong Chen

Jian Wang

Zhiyong Gan

Bin Qu

Ziyue Wang

Yuze Zhao

Liansheng Zhou

Changpeng Song

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

The present disclosure relates to a wind farm layout and yaw control method, and an electronic device. The wind farm layout and yaw control method comprises the following steps: acquiring wind farm data, importing the wind farm data into a WFSim model for simulation, obtaining original power data of the wind farm, counting and recording modifiable wind farm layout and yaw parameters, adjusting variable parameters to be changed, using the WFSim model for simulation to obtain an optimal parameter range of different variables and combining the optimal parameters to obtain an optimal working condition, and using the WFSim model for simulation to obtain optimal power data. The wind farm layout and yaw control method according to the present disclosure is based on optimizing the power output of the wind farm, so that it is very convenient to acquired information. Meanwhile, a WFSim two-dimensional fidelity model is used to simulate and solve the wind farm, so that the simulation time can be reduced while ensuring data accuracy.

Wind farm layout and yaw control method and electronic device

Growing community of inventors

Tianjin, China

Guohao Li