循环双谱在滚动轴承故障特征提取中的应用  

Application of Cyclic Bispectrum in Fault Feature Extraction of Rolling Bearing

作　　者：郭庆丰[1] 梁亚峰[1] 

机构地区：[1]成都航空职业技术学院,成都610100

出　　处：《煤矿机械》2016年第12期140-143,共4页Coal Mine Machinery

摘　　要：针对循环双谱能够处理循环平稳、非线性和非高斯信号,且能够完全抑制高斯噪声的特点,将循环双谱分析方法应用到滚动轴承故障特征提取上。但其计算量大,且所得的谱图信息冗余量大不直观,故对循环双谱进行简化研究,提出先对循环双谱做对角切片基础上再做二次峰值频率切片,然后用简化的循环双谱对滚动轴承故障做特征提取。仿真和实验结果证明了方法的有效性。For the characteristics of cyclic bispectrum which can handle cyclostationary signal, nonlinear signal, and non-Gaussian signal and can suppress Gauss noise completely, the cyclic bispectrum analysis method is applied to fault feature extraction of rolling bearing. However, due to the large calculating amount of the cyclic bispectrum, the final obtained map is not intuitive and the information contained has a relatively larger amount of redundancy, Therefore the cyclic bispectrum was simplified, the second peak frequency slices are made on the basis of diagonal slice and this simplified cyclic bispectrum is used in fault feature extraction of rolling bearing. The simulation and experimental results demonstrate the effectiveness of the method.

关 键 词：循环双谱 高阶循环统计量 滚动轴承 故障诊断 

分 类 号：TH133.33[机械工程—机械制造及自动化] TP206[自动化与计算机技术—检测技术与自动化装置]