[1]叶丹丹,罗继亮.利用Petri网特征结构的故障诊断方法[J].华侨大学学报(自然科学版),2014,35(4):378-382.[doi:10.11830/ISSN.1000-5013.2014.04.0378]
　YE Dan-dan,LUO Ji-liang.Method for Fault Diagnosis Using Characteristic Structure of Petri Nets[J].Journal of Huaqiao University(Natural Science),2014,35(4):378-382.[doi:10.11830/ISSN.1000-5013.2014.04.0378]
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利用Petri网特征结构的故障诊断方法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第35卷
期数:
2014年第4期
页码:
378-382
栏目:
出版日期:
2014-07-10

文章信息/Info

Title:
Method for Fault Diagnosis Using Characteristic Structure of Petri Nets
文章编号:
1000-5013(2014)04-0378-05
作者:
叶丹丹;  罗继亮
华侨大学 信息科学与工程学院, 福建 厦门 361021
Author(s):
YE Dan-dan;  LUO Ji-liang
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
关键词:
故障诊断;  Petri网;  库所不变量;  故障函数
Keywords:
fault diagnosis;  Petri nets;  place-invariant;  failure function
分类号:
TP277
DOI:
10.11830/ISSN.1000-5013.2014.04.0378
文献标志码:
A
摘要:
为解决大规模复杂系统故障诊断中计算复杂性高的问题,提出一种基于Petri网的在线故障诊断方法.首先,建立诊断对象的规范Petri网模型;其次,提出模型的严格最小库所不变量和特征库所不变量集合,并借助特征库所不变量集合描述Petri网模型的结构信息;最后,基于特征库所不变量集合提出任意当前标识的故障函数,并利用故障诊断函数完成故障识别和定位.结果表明:该故障诊断方法采用了系统结构信息,无需遍历系统状态空间,具有多项式级的计算复杂性,能够满足实时性要求.
Abstract:
For fault diagnosis in large complex systems, a on-line fault diagnose method is proposed to solve the problem of high computational complexity. First, modeled a Petri net model. Secondly, proposed the strict minimal place-invariant and the set of characteristic place-invariant, so that might describe the structure information of Petri net model. Finally, based on the set of characteristic place-invariants, the failure function for any current marking is proposed. And then, utilized this failure function to diagnose and locate the faults. The result shows that this fault diagnosis method with the structure information dose not need traverse all states space of system. Furthermore, this method is with the computational complexity of polynomial, which makes this method meet the real time requirements.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2013-10-22
通信作者: 罗继亮(1977-),男,副教授,主要从事离散事件系统监控理论和Petri网理论与应用的研究.E-mail:jlluo@hqu.edu.cn.
基金项目: 国家青年自然科学基金资助项目(60904018); 福建省自然科学基金资助项目(2010J01339); 福建省高等学校新世纪优秀人才支持计划项目(11FJRC01); 福建省高校杰出青年科研人才培育计划项目(JA10004); 中央高校基本科研业务费专项基金资助项目(JB-SJ1006)
更新日期/Last Update: 2014-07-20