利用快速傅里叶变换(FFT)研究了一种角度轨迹监测技术，并将其用于航空发电机旋转整流器故障特征提取及在线诊断应用中。首先，连续采集发电机交流励磁机励磁电流信号，每相邻两次数据采集间隔同样的时间。其次，对每次采集的数据均进行FFT处理以获取故障特征信息，该过程在每两次数据采集的间隔内完成。每次处理得到的故障特征信息会形成连续的变化轨迹，通过对该轨迹的研究可以在线监测并诊断旋转整流器的故障模式。最后，通过试验对所提方法进行了验证。

An angle trajectory monitoring technology is studied using fast Fourier transform (FFT) and applied to the fault feature extraction and online diagnosis of the rotating rectifier of aero generator. Firstly, the excitation current signal of the AC exciter of the generator is continuously collected, and the interval between two sampling points is kept constant. Secondly, FFT processing is performed on the data collected to obtain fault characteristic information, and this process is completed in the sampling intervals. The fault characteristic information obtained by each processing can form a continuous change trajectory, and the fault of the rotating rectifier can be monitored and diagnosed online through studying the trajectory. Finally, the proposed method is verified by experiments.