Failure importance analysis models based on Bayesian network

It is very important for the complex equipment to analyze the importance distribution of failure cause, which can make maintenance experts find the weak point of the equipment for diagnosis and improvement. This paper presents the failure importance analysis models based on the failure importance analysis Bayesian network (FIABN) to calculate the failure causes and modes importance. We adopt the immune algorithm to optimize the structure of FIABN. The numerical simulations show FIABN and the failure importance analysis methods are correct and effective.