A bayesian network reliability modeling for flexray systems

Kuen Long Leu, Yung Yuan Chen, Chin Long Wey, Jwu E. Chen, Chung Hsien Hsu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The increasing importance of FlexRay systems in automotive domain inspires unceasingly relative researches. One primary issue among researches is to verify the reliability of FlexRay systems either from protocol aspect or from system design aspect. However, research rarely discusses the effect of network topology on the system reliability. In this paper, we will illustrate how to model the reliability of FlexRay systems with various network topologies by a well-known probabilistic reasoning technology, Bayesian Network. In this illustration, we especially investigate the effectiveness of error containment built in star topology and fault-tolerant midpoint synchronization algorithm adopted in FlexRay communication protocol. Through a FlexRay steer-by-wire case study, the influence of different topologies on the failure probability of the FlexRay steerby- wire system is demonstrated. The notable value of this research is to show that the Bayesian Network inference is a powerful and feasible method for the reliability assessment of FlexRay systems.

Original languageEnglish
Pages (from-to)42-47
Number of pages6
JournalWorld Academy of Science, Engineering and Technology
Volume65
StatePublished - May 2010

Keywords

  • Bayesian Network
  • Fault tolerance
  • FlexRay
  • Network topology
  • Reliability

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