航空发电机工作的可靠性关系到航空运输的安全性,针对航空发电机定子绕组内部故障诊断问题,提出了基于经验模式分解算法的检测方法。在介绍经验模式分解算法基本原理和同步发电机内部回路电路仿真方法的基础上,对航空发电机的定子电流信号进行了分析,提取了瞬时频率、幅值等瞬时故障特征,确定了故障发生时刻,并给出了诊断结果,仿真结果表明本文方法有效。 The reliability of the working of aerogenerators relates to the safety of air transportation. Aiming at the problem of the internal fault diagnosis of the stator winding of the aero-generator, a detection method based on the empirical mode decomposition algorithm is proposed. Based on the introduction of the basic principle of empirical mode decomposition and the simulation of internal loop circuit of synchronous generator, the stator current signal of the aerogenerator is analyzed. The instantaneous frequency and amplitude instantaneous fault characteristics are extracted, and the fault occurrence time is determined , And gives the diagnosis results, the simulation results show that this method is effective.