Intelligent recommendation method for vehicle fault detection scheme based on Bayesian network

The invention discloses an intelligent recommendation method for a vehicle fault detection scheme based on a Bayesian network, and the method comprises the steps: obtaining a detection method correlated with each fault cause node of a fault tree network, and setting a category weight, an effectiveness weight and a correlation weight for each detection method according to the attributes of the detection methods; according to the recommendation engine, combining the detection methods corresponding to the highest category weight in the first preset range to obtain an optimal detection method of all the fault reason nodes; obtaining posterior probabilities of all fault reason nodes according to a result of executing the optimal detection method, and updating the probabilities of all detectionmethod nodes to be abnormal; and inputting the probability that the residual detection method nodes are abnormal, the category weight, the validity weight and the relevance weight into a recommendation engine to obtain the ne