Affiliation:
1. Electrical Power& Integrated Energy Research Center of Shaanxi Province Xi'an University of Technology Xi'an China
2. School of Electrical Engineering Xi'an University of Technology Xi'an China
3. POWERCHINA RENEWABLE ENERGY CO., LTD Power China Co., Ltd Beijing China
Abstract
The wind turbine fault feature has strong uncertainty due to various factors such as wind speed and equipment parameters. Based on the analysis of the vibration characteristics of wind turbines with unknown prior conditions, this paper conducts research on the enhancement method of fault features. First, analyzing the change in fault features caused by the change in operating conditions to lay the foundation for subsequent research; Second, for the uncertainty of wind turbine fault feature frequency, searching for fault features by constructing the energy in each spectral interval, then use signal noise optimal resonance to transfer noise energy to low frequency fault features to achieve the purpose of adaptive optimal resonance enhancement of fault feature; Finally, validation of the proposed method by simulation experiments and fault signals of actual wind turbine rolling bearings. The case shows that the proposed algorithm can effectively realize the uncertain fault feature of wind turbines search and enhancement. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.
Funder
Key Research and Development Projects of Shaanxi Province
National Natural Science Foundation of China