7 / 2025-03-31 09:08:25
Mass Imbalance Identification of Wind Turbine Blades Based on Information Fusion of Tower and Main Shaft Vibration Signals
wind turbine,vibration signal,information fusion,coherent cepstrum,rotor mass imbalance
Final Paper
Lei Song / Zhuhai Port Risen Energy Co., Ltd.
Shiming Wu / Beijing Envada Ltd.
Zhixue Cheng / Dongdian Maolin Wind Power Development Co., Ltd.
Jinsheng Ren / Beijing Envada Ltd.
Xinwei Huang / North China Electric Power University
Yibing Liu / North China Electric Power University
The commonly used methods for monitoring blade mass imbalance are based on vibration signals. However, whether using the vibration signals from the main bearing or the tower, the effective information reflecting mass imbalance in the signals is relatively weak, which affects the monitoring and identification of the blade mass imbalance condition. This paper proposes a method based on the fusion of main bearing vibration and tower vibration information. By calculating the coherent cepstrum of these two types of signals, the interference noise can be suppressed, and the mass imbalance information in the vibration signals can be enhanced. This, in turn, improves the monitoring and identification of abnormal blade conditions. The application effectiveness of the proposed method is verified through the analysis of actual monitoring data from wind turbines.
Important Date
  • Conference Date

    Aug 01

    2025

    to

    Aug 04

    2025

  • Aug 20 2025

    Draft paper submission deadline

Sponsored By
中国机械工程学会设备智能运维分会
Organized By
新疆大学