详细介绍了某型飞机主起落架疲劳试验过程中，利用声发射技术实时监测主起落架梁的健康状况。在一次试验进程中，利用趋势分析、幅值分析、空间分析等方法发现主起落架梁某区域内有高幅值、高能量的异常信号存在。为进一步验证主起落梁的疲劳损伤是否存在，利用基于相关分析的趋势分析方法对声发射信号进行再处理，排除了疲劳裂纹的存在，利用Fisher线性判别法建立了正常信号与故障信号的判别模式，保障了试验的顺利进行，为以后的数据处理、疲劳损伤信号与故障信号的判别提供了参考。

Technical details of using acoustic emission to real time monitor the health status of the main landing gear beam during its fatigue test were introduced. Taking advantage of using trend analysis, amplitude-based analysis, space-based analysis and other methods, it was found that high-amplitude and high-energy signals existing in one area of the landing gear beam. For further verifying whether there is fatigue damage, it was decided to use correlation analysis-based trend analysis to process AE signals again, thus checking up the possibility of fatigue crack. With the help of Fisher linear discriminated method, this paper established a discriminated mode between normal and abnormal signals, providing an important guarantee for fulfillment of the test and also providing a reference for the identification of fatigue damage signals and abnormal signal for the subsequent data processing.