电机与控制应用Issue(1)：66-71,6.
基于振动分析的风力机齿轮箱故障诊断∗
Wind Turbine’s Gearbox Fault Diagnosis Based on Vibration Analysis
摘要
Abstract
A fault diagnosis method of gearbox based on multi-scale wavelet analysis and Hilbert transform,which can diagnose many kinds of fault immediately, was proposed in order to diagnose the wind turbine gearbox fault type easily, improve the stability of the wind turbine. Firstly, the wavelet denoise method was used to remove the noise of gearbox vibration signals, then the vibration signals of gearbox were decomposed by the multi-scale wavelet decomposition method. Through the analysis of high frequency reconstruction signal, whether the fault will occur can be predicted. If the fault is going to happen, Hilbert transform method is used to the high-frequency reconstruction signals. The predict fault type can be determined by the analysis of certain parameter values of energy envelope spectrum. The new experimental data was employed to show that the algorithm is simple and effective.关键词
风力机齿轮箱/多尺度/降噪/希尔伯特变换/故障诊断Key words
multi-scale/noise reduction/Hilbert transform/fault diagnosis分类
信息技术与安全科学引用本文复制引用
杨明莉,刘三明,张卫,刘琦..基于振动分析的风力机齿轮箱故障诊断∗[J].电机与控制应用,2015,(1):66-71,6.基金项目
国家自然科学基金(11201267) （11201267）
上海市研究生创新基金(12ZZ197) （12ZZ197）
