Until now, there is no effective method to detect the early weak structural damage of the aero engine intershaft bearing. In this article, an online method based on acoustic emission technology is used to detect the early weak structural damage of aeroengine intershaft bearing. The combination of maximum correlated kurtosis deconvolution and bandpass filter is proposed to enhance and denoise fault characteristic signals of the aero engine intershaft bearing. The Hilbert envelope demodulation is used to extracting the bear fault characteristic frequency. Under aeroengine working conditions, the experiment of an intershaft bearing with outer ring fault is carried out. The result shows that bearing outer ring fault characteristic frequency and bearing vibration frequencies clearly appear in the envelope spectrum of the acoustic emission signal. Therefore, online detection of early weak structure damage of aeroengine intershaft bearing is realized by acoustic emission technology under the background of strong noise.

到目前为止，还没有有效的方法来检测航空发动机轴间轴承的早期弱结构损坏。本文采用一种基于声发射技术的在线方法来检测航空发动机轴间轴承的早期弱结构损伤。提出了最大相关峰度反卷积和带通滤波器的组合，以增强和降噪航空发动机轴间轴承的故障特征信号。希尔伯特包络解调用于提取熊故障特征频率。在航空发动机的工作条件下，进行了具有外圈故障的轴间轴承的试验。结果表明，轴承外圈故障特征频率和轴承振动频率清晰地出现在声发射信号的包络谱中。