Abstract:

Considering the problems that influence factors in the repair process are always ignored while conducting the maintenance quality assessment, an assessment model of complex equipment maintenance quality based on Bayesian network is built by taking the procedural indicator system as a prior knowledge of the repaired indicator system. Firstly, the procedural and repaired indicator systems are built and simple analysis of the indexes is given. Secondly, a maintenance quality assessment model based on Bayesian network is built, and the prior probability and conditional probability are also confirmed by the improved fuzzy comprehensive evaluation method and the expert experience method respectively. Finally, simulations and analysis of one instance are conducted to verify the proposed method. Results show that the proposed method can solve the problem of maintenance quality assessment for complex electronic equipment at a certain extent, and it can also provide a reference to perfecting the maintenance quality assessment theory.