Fault Diagnosis of Wind Turbine Based on Empirical Mode Decomposition

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Wang, Jing^1

School of North China Electric Power University, North China Electric Power University, Baoding, Hebei

071000, China^1

关键词: Bispectrum;    Economic loss;    Empirical Mode Decomposition;    Wind turbine gearboxes;    Working environment;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032007/pdf
DOI  :  10.1088/1757-899X/452/3/032007

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The structure of the gearbox of wind turbine is complex. The working environment is bad and the load is heavy which results in frequent failure of the gearbox parts and huge economic losses. In this paper, the signal processing method combined with empirical mode decomposition and improved bispectrum is used to diagnose the gearbox of wind turbine and the condition of wind turbine is monitored by a portable inspection. The feasibility and applicability of this method in the fault diagnosis of wind turbine gearbox are checked by an example.