滚动轴承早期故障在线监测与诊断  

The On-Line Inspection and Diagnosis for the Rolling Bearing’s Tiny Fault

作　　者：王丽丽[1] 王超[1] 

机构地区：[1]西安交通大学

出　　处：《西安交通大学学报》1998年第6期74-77,共4页Journal of Xi'an Jiaotong University

摘　　要：对滚动轴承早期故障的诊断提出了一种简便有效的方法．阐明频域和时域分离故障信息的原理，讨论了窄带滤波器设计参数选取的方法，特别是对窄带滤波器的中心频率及带宽与故障特征频率之间的关系给出了定量的描述，对窄带信号峰值包络包含的低频分量的放大作用给出了定量的分析．最后以５套３０７轴承为例进行了成功的诊断．采用文中提出的方法可由功率谱直接判读故障谱峰，该方法直观、快速、简便，非常适用于滚动轴承的在线监测与诊断．An effective method based on the Hilbert transform and narrow band filtration is proposed to dignose the rolling bearing's tiny fault. The theory for extracting the fault signal in both frequency domain and time domain is expounded. The envelope signal of the rolling bearing with fault signal is calculated using the Hilbert transform and narrow band filtration, and then the component of it caused by the fault is amplified using mathematical transformation. In discussing the choice of the narrow band filter's parameters, the relationship between the filter's parameters(center freqency and band range) and the fault's characteristic freqency is described quantitalively. Examples show that this method is valid with high accuracy. The method proposed is very suitable for the rolling bearing's on line inspection and diagnosis.

关 键 词：故障诊断 希尔伯特变换 滚动轴承 在线监测 

分 类 号：TH133.33[机械工程—机械制造及自动化]