Fault identification of wind turbine transmission system based on root mean square and Zoom-FFT

2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation

材料科学;机械制造;运输工程

Xin, Hong Wei^1,2 ; Xian, Shi Long^1,2 ; Xue, Dong^1,2 ; Liu, Jia Qi^1,2

School of Automation Engineering, Northeast Electric Power University, Jilin

132012, China^1

Hebei Guohua Cang Dong Power Generation Co. LTD, Cangzhou, HEBEI

061000, China^2

关键词: Fault identifications;    Fault types;    Field experiment;    Operation state;    Root Mean Square;    Transmission systems;    Turbine failures;    Vibration signal;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/382/4/042001/pdf
DOI  :  10.1088/1757-899X/382/4/042001

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

This paper proposed a method based on root mean square and Zoom-FFT (detailed fast Fourier transform) to detect the operation state of the transmission system of wind turbine, which can extract the characteristic information and complete the fault identification. Firstly, the root mean square of the vibration signal was gotten to detect wind turbine failure, and then the method of Zoom-FFT was adopted to determine the fault type. It can also distinguish when and where the failure happened. Simulation and field experiment results validated the effectiveness of the proposed method.