基于Hilbert空间熵的风力发电机轴承故障诊断  

Fault Diagnosis for Wind Turbine Bearings Based on Hilbert Space Entropy

作　　者：孙鲜明[1] 陈长征[1] 周昊[1] 

机构地区：[1]沈阳工业大学机械工程学院,沈阳110870

出　　处：《轴承》2014年第11期53-56,共4页Bearing

摘　　要：风速的不断变化往往会给风力发电机的故障诊断造成干扰,为此,提出Hilbert空间熵方法。通过建立基于HHT时频变换的信息熵,描述不同风速条件下风力发电机轴承振动信号,将其应用于D70型风力发电机轴承故障分析,证明在不同风速条件下,该方法均能有效识别轴承故障,可作为风力发电机轴承故障诊断的指标和依据。The constant variation of the wind speed disturbs the fault diagnosis for the wind turbines.To solve this problem,the Hilbert space entropy method is proposed.The information entropy based on HHT is used to describe the vibration signal of the wind turbine bearings under different wind speed,and the method is used to analyze the fault of the D70 type wind turbine bearings.It proves that the method can effectively identify the fault of the bearings under dif-ferent wind speed,which can be used as the index and basis of the fault diagnosis for the wind turbine bearings.

关 键 词：滚动轴承 故障诊断 HILBERT 空间熵 HHT 风力发电机 

分 类 号：TH133.33[机械工程—机械制造及自动化] TH17