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Research on Complex Equipment Fault Diagnosis Based on Weighted Fuzzy Logic Petri Nets

机译:基于加权模糊逻辑Petri网的复杂设备故障诊断研究

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Currently, to improve the accuracy and efficiency of fault diagnosis using intelligent information technology has become the development trend of fault diagnosis technology. The fault diagnosis technology character of current complex devices was analyzed firstly in the paper. Then, aim at the uncertain reasoning problem in the fault diagnosis, a weighted fuzzy logic reasoning algorithm that is more suitable for practical engineering application was brought out. At the same time, to improve the fault diagnosis efficiency, a formalize algorithm for diagnosis reasoning by use of the parallel process capability of Petri nets was also provided. Finally, an example was used to verify the proposed methods in the paper.
机译:当前,利用智能信息技术提高故障诊断的准确性和效率已成为故障诊断技术的发展趋势。本文首先分析了当前复杂设备的故障诊断技术特点。然后针对故障诊断中的不确定性推理问题,提出了一种更适合实际工程应用的加权模糊逻辑推理算法。同时,为提高故障诊断效率,还提出了一种利用Petri网的并行处理能力进行诊断推理的形式化算法。最后,通过一个例子对本文提出的方法进行了验证。

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