基于小波包的风力机齿轮箱点蚀故障诊断  

Pitting Corrosion Fault Diagnosis of Gear Box for Wind Turbine Generator System Based on Wavelet Packet

作　　者：周培毅[1] 袁铁江[1] 张华中[1] 

机构地区：[1]新疆大学电气工程学院,新疆乌鲁木齐830046

出　　处：《陕西电力》2013年第10期10-13,18,共5页Shanxi Electric Power

基　　金：国家自然科学基金资助项目(51167018)

摘　　要：为提高风力发电机组齿轮箱故障的诊断效率,提出基于小波包的频谱分析诊断方法。运用小波包对故障振动信号进行处理,求点蚀故障振动信号的频谱图,依据不同故障类型的振动频谱特性,判断故障类型及位置。Matlab仿真验证了该方法的有效性,To improve the fault diagnosis efficiency of the gear box of wind turbine generator system, the paper proposes a new spectral analysis method based on wavelet packet. The data of vibration signal is processed by means of the wavelet packet, and the spectral map of every Pitting corrosion fault signal is obtained. Combined with the feature of spectrum of every type fauh, the type and location of the vibration signal can be determined. Matlab simulation results show the eft^ctiveness of this method presented in the paper.

关 键 词：风力发电机组 齿轮箱 点蚀 故障诊断 小波包 频谱分析 

分 类 号：TM73[电气工程—电力系统及自动化]