The System Reliability Calculation Method Based on Improved Hidden Markov

Author

Yanhui Wang ; Man Li ; Lijie Li

Author_Institution

State Key Lab. of Rail Traffic Control & Safety Beijing, Beijing Jiaotong Univ., Beijing, China

fYear

2013

fDate

16-17 Nov. 2013

Firstpage

240

Lastpage

243

Abstract

Along with the increasing complexity of system structure and its function, the failure process of the system presents complicated dynamic characteristics. The traditional calculation method of the system reliability takes into account the parts are transferred between different states in the global state space. With the increasing number of the subsystem and the parts, the traditional calculation method of the system reliability has a problem. In order to solve the problem, the paper is based on improved hidden Markov state transfer model to solve system reliability calculation. Example analysis shows that the method can well solve the dynamic characteristics system´s reliability analysis problem, and it has higher precision.

Keywords

fault trees; hidden Markov models; matrix algebra; reliability theory; hidden Markov state transfer model; state transition probability; system reliability calculation method; Hidden Markov models; Laboratories; Markov processes; Power system reliability; Probability; Reliability; Safety; system reliability; the improved hidden Markov; the state changes; the state transition probability;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Applications (ITA), 2013 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4799-2876-7

Type

conf

DOI

10.1109/ITA.2013.63

Filename

6709979