华南理工大学学报(自然科学版) ›› 2007, Vol. 35 ›› Issue (1): 24-27,33.

• 电子、通信与自动控制 • 上一篇    下一篇

基于CRPN 模型的复杂系统故障诊断

郭亚中 左洪福 王华伟   

  1. 南京航空航天大学 民航学院,江苏 南京 210016
  • 收稿日期:2005-01-15 出版日期:2007-01-25 发布日期:2007-01-25
  • 通信作者: 郭亚中(1974-) ,男,博士生,主要从事故障诊断和决策方面的研究。 E-mail:gyz0507@163.com
  • 作者简介:郭亚中(1974-) ,男,博士生,主要从事故障诊断和决策方面的研究。
  • 基金资助:

    中国博士后科学基金资助项目(2005037727 )

Fault Diagnosis of Complex System Based on CRPN Model

Guo Ya-zhong  Zuo Hong-fu  Wang Hua-wei   

  1. College of Civil Aviation , Nanjing Univ. of Aeronautics and Astronautics , Nanjing 210016 , Jiangsu , China
  • Received:2005-01-15 Online:2007-01-25 Published:2007-01-25
  • Contact: 郭亚中(1974-) ,男,博士生,主要从事故障诊断和决策方面的研究。 E-mail:gyz0507@163.com
  • About author:郭亚中(1974-) ,男,博士生,主要从事故障诊断和决策方面的研究。
  • Supported by:

    中国博士后科学基金资助项目(2005037727 )

摘要: 由于复杂系统的结构和运行环境复杂,传统方法无法对其进行故障诊断.文中将基于案例的推理方法和Petri 网理论引入到复杂系统的故障诊断中,建立了基于案例推理和Petri 网的CRPN (Case-based Reasoning Petri Nets) 模型,研究了该模型的变迁规则和案例特征等关键技术.利用两层CRPN 模型,可有效地解决已有复杂系统故障诊断方法中存在的模型难以建立、推理过程模糊等问题.最后以飞机的某系统为例,探讨了基于CRPN模型的故障诊断过程,结果表明文中方法是有效的。

关键词: 复杂系统, 故障诊断, 案例推理, Petri 网

Abstract:

The traditional fault-diagnosing method cannot locate the fault due to the complexity in structure and operationenvironment of a complex system. In order to overcome this difficulty , the method of case-based reasoningand the Petri net theory are introduced in the fault diagnosis , and a CRPN (Case-based Reasoning Petri Nets) modelis established based on the two above-mentioned methods. The key problems of the CRPN model , such as thetranslation rules and the case characteristics , are then investigated. By using a two-layer CRPN model , the difficultyin modeling and the fuzzy in reasoning process during the fault diagnosis of a complex system can be effectivelyovercome. Finally , as an example , the proposed method is applied to a system of aircraft to reveal the process offault diagnosis based on the CRPN model. The results show that the proposed method is effective.

Key words: complex systems, fault diagnosis, case-based reasoning, Petri net