The Dynamic Fault Tree Analysis Method Based on Fuzzy Markov Process and Its Application

DOI

10.2991/itoec-16.2016.66How to use a DOI?

Keywords

Markov process, dynamic fault tree, the triangular fuzzy numbers, reliability

Abstract

Traditional fault tree analysis is an effective method to analyze system reliability that is based on static logic, and the system which considering the influence in combination of fuzzy uncertainty and dynamic failure characters is still difficult to estimate precisely. The fuzzy number theory can fully consider the fuzzy uncertainty of system which use various aspects information, and Markov process can describe the dynamic failure characteristics of the system through the change of state space, then the fuzzy number theory and Markov process is introduced into dynamic fault tree analysis to overcome the disadvantage of traditional fault tree. The method was applied to dynamic fault tree research of an internal combustion engine to prove the validity.

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/).

Download article (PDF)

TY  - CONF
AU  - Xin Liu
AU  - Yunxian Jia
AU  - Jie Zhou
AU  - Zewen He
AU  - Yingbo Zhang
PY  - 2016/05
DA  - 2016/05
TI  - The Dynamic Fault Tree Analysis Method Based on Fuzzy Markov Process and Its Application
BT  - Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016)
PB  - Atlantis Press
SP  - 348
EP  - 353
SN  - 2352-5401
UR  - https://doi.org/10.2991/itoec-16.2016.66
DO  - 10.2991/itoec-16.2016.66
ID  - Liu2016/05
ER  -