基于有色Petri网的机械系统故障诊断研究

Fault Diagnosis of Mechanical System Based on Colored Petri Nets

摘要:

故障诊断对于机械系统的使用与维护起着重要的作用；为了提高机械系统故障诊断的效率以及直观性,提出了一种使用基于知识的故障诊断方法,即使用有色Petri网诊断方法建立一种通用机械系统故障诊断模型并进行分析;针对数控机床液压元件故障这一案例,首先获取其故障来源建立故障树；其次在故障树基础上运用有色Petri网建模工具CPNTools建立有色Petri网模型；最后对模型进行了仿真分析以模拟故障的传递,进行状态空间分析以判断模型安全性,结果表明所提出的建模方法能够使得故障传递更加直观化,快速了解故障的发展趋势,并表明此模型有着较强的易用性以及通用性。

Abstract:

Fault diagnosis plays an important role in the use and maintenance of mechanical system, in order to improve the efficiency and the intuitive of the fault diagnosis for mechanical system. In this paper, a fault diagnosis method based on knowledge was proposed, which used the colored Petri nets to establish a general fault diagnosis model of mechanical system. In the case of the CNC’s hydraulic components faults, firstly, the fault source was obtained to establish the fault tree. Secondly, the colored Petri net model was established by the CPNTools used for modeling and simulation of Petri nets based on the fault tree. Finally, the simulation analysis of the model was carried out to get the trend of the fault transmission, the state space report was obtained to validate the security of model. The results showed that the proposed modeling method could make fault transmission more intuitive and the development trend of fault showed more quickly. Besides, the results showed that the model has strong usability and versatility.