![]() It is shown that the proposed method is capable of guiding Structure has been adopted to prevent the model from overly large. In order to unburden the computation, an object oriented model Prior probabilities of root causes, and diagnostic procedure. Particular considerations are given to the design of the Bayesian model structure, determination of Infotainment system as a case study, a number of Bayesian diagnostic models have been established for fault cases with singleĪnd multiple symptoms. Paper presents an innovative Bayesian Network based method for guiding off-line vehicle fault diagnosis. One of the issues in vehicle faultÄiagnosis is the difficulty of successful interpretation of failure symptoms to correctly diagnose the real root cause. Fault diagnostics are increasingly important for ensuring vehicle safety and reliability.
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