Hilbert解调及倒谱分析在风电机轴承故障诊断中的应用  

Application of Hilbert and Cepstrum for Fault Diagnosis in Wind Turbine Bearing

作　　者：郝晓弘[1] 董华强[1] 陈伟[1] 肖江 肖骏[3] 

机构地区：[1]兰州理工大学电气工程与信息工程学院,甘肃兰州730050 [2]兰州供电公司,甘肃兰州730050 [3]甘肃电力科学研究院,甘肃兰州730050

出　　处：《机械与电子》2013年第5期43-46,共4页Machinery & Electronics

基　　金：甘肃省电网公司科技项目(2010406029)

摘　　要：针对风力发电机组滚动轴承的振动故障,采用Hilbert解调及倒谱分析的方法,寻找故障的特征频率,运用LabVIEW软件编写程序进行信号实例分析,获取了异常振动产生的周期性故障信号。结果表明把倒谱分析与Hilbert解包络分析相结合是一种有效的诊断方法,提高了风力发电机组轴承故障诊断的准确性。In order to detect the vibration fault of wind turbine bearing, a method based on Hil- bert and Cepstrum is proposed in this paper, finding fault characteristic frequency. The LabVIEW software is used for signal analysis to obtain fault signal generated by the abnormal vibration. The resuits show that the analysis based on Hilbert and Cepstrum is an effective diagnostic method, which improves the accuracy of fault diagnosis in wind turbine bearing.

关 键 词：风力发电机组 滚动轴承 Hilbert解调 倒谱 LABVIEW 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]