• 论文 •    

复杂系统故障传播与故障分析模型研究

韩光臣, 孙树栋, 司书宾, 付  平   

  1. 西北工业大学 机电学院,陕西 西安  710072
  • 出版日期:2005-06-15 发布日期:2005-06-25

Research on model of fault diagnosis and propagation in complex system

HAN Guang-chen, SUN Shu-dong, SI Shu-bin, FU Ping   

  1. Sch. of Mechanical & Electrical Eng.,Northwestern Polytechnic Univ.,Xi’an  710072,China
  • Online:2005-06-15 Published:2005-06-25

摘要: 针对复杂系统故障传播与故障分析的复杂性与不确定性,建立了一种复杂系统故障传播与故障分析模型,即模糊概率Petri网系统。该模型引入故障模式关联概率与置信度约束,用模糊概率Petri网完备地描述了子系统故障模式关联关系,并按照子系统之间的连接关系用消息库所和门变迁连接各模糊概率Petri网,最终形成整个复杂系统的模糊概率Petri网系统模型。模糊概率Petri网系统采用对象内置于Petri网和Petri网内置于对象相结合的方式,简化了模型的表达形式,具有良好的封装性、可重用性和可维护性。最后,以一个应用实例说明了模型的适用性。

关键词: 模糊概率Petri网系统, 模型, 复杂系统, 故障传播, 故障分析, 面向对象

Abstract: In order to solve the problem of complexity and uncertainty of fault propagation and analysis in complex system, a new model for fault propagation and fault diagnosis in complex system-Fuzzy Probability Petri Nets System (FPPNS) was constructed. The Fuzzy Probability Petri Nets (FPPN) introduced association probability and belief of fault modes. FPPN was used to represent association among fault modes in subsystems, then the FPPNS were connected through message places and gate transitions according to the relation of subsystems, and finally the model of complex system based on FPPNS was set up. The model combined embedding objects in Petri net with embedding Petri net in objects to simplify the expression of model. The proposed model has better encapsulation, reconfiguration and maintainability. The application of the model was provided in the end.

Key words: fuzzy probability Petri nets system, model, complex system, fault propagation, fault analysis, object-oriented

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