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基于参数估计的故障诊断方法因为具有确定故障发生的时间、位置和程度的能力而越来越引起人们的重视。时变（快速的或慢速的）参数辨识是基于参数估计故障诊断方法的关键。本文根据系统的变化，基于模糊控制的原理自动调整遗忘因子，导出了一种实现比较简单，对参数的时变具有较高跟踪速度和跟踪精度的辨识方法。理论分析和仿真试验证实了该方法的有效性
The method of fault diagnosis based on parameter estimation attracts more and more attention due to its ability to determine the time, location and extent of fault occurrence. Time-varying (fast or slow) parameter identification is the key to fault diagnosis based on parameter estimation. In this paper, the forgetting factor is automatically adjusted based on the principle of fuzzy control according to the change of the system, and a method of identification with high tracking speed and tracking accuracy is derived. Theoretical analysis and simulation tests confirm the effectiveness of this method