模糊离散事件系统的多故障诊断

针对诊断器不能只依赖自身就能判断诊断的缺点,基于不可区分串的概念,提出一种模糊离散事件系统的多故障诊断方法.首先,基于极小可观测事件构造模糊自动机相应的诊断器,用于寻找不可区分串的集合;其次,根据诊断器的性质,提出模糊离散事件系统的多故障可诊断的充分必要条件;最后,通过实例进行验证.结果表明:该方法为模糊离散事件系统的多故障诊断提供一种简单可行的新途径.

Multiple Failures Diagnosability of Fuzzy Discrete Event Systems

In the classical failure diagnosis of discrete event systems, the diagnoser can not rely on itself judgment whether it can be diagnosed, we need to refer to the original system. Aimed at this drawback, in this paper, the multiple failures diagnosability is proposed based on the concept of undistinguishable strings in the fuzzy discrete event systems. Firstly, we construct the diagnoser with respect to the minimal observable event corresponding to fuzzy automaton to find sets of undistinguishable strings. Secondly, according to the properties of the diagnose, a necessary and sufficient condition for multiple failures diagnosability of fuzzy discrete event systems is put forward. Finally, the experimental results show that the proposed method is an effective and simple approach for multiple failures diagnosability of fuzzy discrete event systems.