Commenced in January 2007
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A Bayesian Network Reliability Modeling for FlexRay Systems
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.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079018Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1666
 FlexRay Consortium, "FlexRay Communications System - Protocol Specification," v2.1 Revision A, December 2005.
 M. Dehbashi et al, "Fault Effects in FlexRay-Based Networks with Hybrid Topology," ARES-08, Page(s):491 - 496, March 2008
 Bo Zhang, "Formal Analysis of a Distributed Fault Tolerant Clock Synchronization Algorithm for Automotive Communication Systems," SEAA-08 , Page(s):393 - 400, Sept. 2008
 E. Armengaud et al, "Towards a Systematic Test for Embedded Automotive Communication Systems," IEEE Transactions on Industrial Informatics, Vol. 4, Issue 3, Page(s):146 - 155, Aug. 2008
 Bernhard Gstoettenbauer et al, "End-To-End Protection for SIL 3 Requirements in a FlexRay Communication System," SAE 2008 World Congress, 2008-01-0112, 2008
 Pearl J. Probabilistic reasoning in intelligent systems. Los Altos, CA: Morgan Kaufmann, 1989
 A.Bobbio et al, "Improving the analysis of dependable systems by mapping fault trees into Bayesian networks," Reliability Engineering and system safety, 2001, vol.71(3), Page(s): 249-260
 H. Boudali and J. B. Dugan, "A New Bayesian Network Approach to Solve Dynamic Fault Trees," RAMS 2005, Page(s):451 - 456, Jan. 2005
 Lijun Zhang et al, "Reliability Research for Steer-by-Wire System of Electric Vehicle", APPEEC 2009, Page(s):1 - 4, March 2009
 Mark L. Mckelvin Jr. et al, "Fault Tree Analysis for the Design Exploration of Fault Tolerant Automotive Architectures," SAE 2009 World Congress, 2009-01-1377, 2009
 J. B. Dugan et al., "Dynamic fault-tree models for fault-tolerant computer systems", IEEE Transactions on reliability, Vol. 41, Issue 3, page(s): 363 - 377, September 1992.
 Alan P. Wood, "Multistate Block Diagrams and Fault Trees", IEEE Transactions on reliability, Vol. R-34, No. 3, page(s): 236 - 240, August 1985.