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A Fault Diagnosis Method Based on CFPN Model

机译:基于CFPN模型的故障诊断方法

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摘要

In traditional FPN model, the matrix operations are too excessive and it does not meet the requirements of real-time in fault diagnosis system. The paper has improved the FPN model and proposed a CFPN (Controlled Fuzzy Petri Net) modeling method. This method has added controlled place in FPN and improved the design method of control arc of the control place. The method is based on the principle of p- and it enables to simplify the logic of FPN fault diagnosis. That can reduce the matrix computation in FPN fault diagnosis reasoning to improve the efficiency of fault diagnosis. This paper has applied the method in the distillation column fault diagnosis system and verified the applicability and effectiveness of fault diagnosis method based on CFPN model.
机译:在传统的FPN模型中,矩阵操作过于过多,它不符合实时在故障诊断系统中的要求。本文改进了FPN模型,提出了一种CFPN(受控模糊Petri Net)建模方法。该方法在FPN中添加了控制的位置,并改善了控制场的控制弧的设计方法。该方法基于P-原理,它能够简化FPN故障诊断的逻辑。这可以减少FPN故障诊断推理中的矩阵计算,提高故障诊断效率。本文应用了蒸馏塔故障诊断系统的方法,并验证了基于CFPN模型的故障诊断方法的适用性和有效性。

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