Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

The Study of Improved Fault Petri Nets Diagnosis and Its Application

Authors
Xiaozhong Li, Peng Zhao, Ying Liu, Xiaoqin Liu
Corresponding Author
Xiaozhong Li
Available Online May 2016.
DOI
10.2991/wartia-16.2016.380How to use a DOI?
Keywords
Improved fault Petri nets, Network fault array, Fault propagation path, State equation
Abstract

The purpose of this study is to improve the efficiency of fault diagnosis and quickly aim fault propagation path. This paper introduces the modeling and reasoning methods of Improved Fault Petri Nets (IFPN) based on existing concept and method of modeling for fault Petri nets. IFPN shows network fault array and has the advantages of fault petri nets. By analyzing the dynamic characteristics of the Improved Fault Petri Nets (IFPN), transition enable rule and firing rule can be defined. In terms of characteristic of fault propagation, the analysis shows improved state equation and algorithm for diagnosis can conveniently and quickly target the path of fault propagation. The paper also introduces applying the algorithm in small network fault, and the results from application can prove the accuracy and practicability of the algorithm. The application can help people to research and explore in network fault diagnosis area.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
10.2991/wartia-16.2016.380
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.380How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaozhong Li
AU  - Peng Zhao
AU  - Ying Liu
AU  - Xiaoqin Liu
PY  - 2016/05
DA  - 2016/05
TI  - The Study of Improved Fault Petri Nets Diagnosis and Its Application
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1918
EP  - 1923
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.380
DO  - 10.2991/wartia-16.2016.380
ID  - Li2016/05
ER  -