航空发动机主轴轴承故障诊断

The Fault Diagnosis of Aero-engine Main Shaft Bearings

某型航空发动机的主轴轴承由于频繁出现早期失效而引起发动机故障,因此,对滚动轴承进行状态监测和故障诊断具有重要的实际意义。针对常规方法难以准确分析非平稳信号的局限性,本文研究了基于小波分析的滚动轴承故障诊断方法,通过滚动轴承外表面损伤的仿真信号进行小波包频谱分析,验证了基于小波分析的滚动轴承故障诊断方法是可靠、准确的,可以应用于航空发动机主轴轴承的状态监测和故障诊断。

Because of frequently earlier failure,the main shaft bearings of some aero-engine cause engine failure.Therefore,the condition monitoring and fault diagnosis to rolling bearings has a practical significance and it is difficult to analyze the non-stationary signals with conventional methods for the vibration signal analysis.This paper introduces rolling bearings fault diagnosis based on wavelet analysis method,and the surface damnification fault signals are diagnosed by using the frequency domain analysis method of wavelet package decomposition.Results of experiment show that the analysis methods of wavelet transform are reliable and accurate.They are useful for the condition monitoring and fault diagnosis to aero-engine rolling bearings.