In order to carry out machine fault diagnosis earlier and more accurately such as the automatic detection for the ship’s level scale, and the existing literatures didn’t discuss these until now. However, for solving the problem, this paper presents a semigroup of fuzzy automata and its properties, constructs a fuzzy inference system on the semigroup of fuzzy automata, and discusses its application on machine fault diagnosis and the anti-fatigue driving reminder device. At the same time, the comparison between this inference model and the existing diagnosis methods is discussed. The experimental results show that the diagnosis speed and the average precision of the proposed inference model are faster and higher than those of traditional methods, which their maximum diagnosis precision is 95.98%.

为了更早，更准确地进行机器故障诊断，例如自动检测船舶的水位标尺，现有文献直到现在都没有讨论。然而，为解决这一问题，本文提出了一种半自动模糊系统及其性质，在半自动模糊系统上构造了一个模糊推理系统，并讨论了其在机器故障诊断和抗疲劳驾驶提醒装置中的应用。同时，讨论了该推理模型与现有诊断方法的比较。实验结果表明，所提出的推理模型的诊断速度和平均精度高于传统方法，其最高诊断精度为95.98％。