A Fault Diagnosis Approach of the Large Complex System Based on Bayes Theory
Houjun Wang · Acta Armamentarii · 2008
According to the characteristic of the large complex system,we built a fault diagnosis model in fault space to describe the relationship between fault sources and test set.Based on it,Bayes theory was introduced into the problem of fault diagnosis of the large system.The running states of the system were estimated according to the maximal posterior probability.We concluded the problem as a set cover problem(SCP),and the near-optimal resolution was given by Lagrange relax algorithm.The example in which the algorithm is applied to the fault diagnosis of the Apollo prelaunch data guoted from Ref. demonstrates the algorithm has enough precision and efficiency.