Research of Fault Diagnosis for the Electronic Equipment Maintenance Training System
In order to make fault diagnose analysis,locate faults swiftly and increase maintenance training efficiency for the maintenance personnel in the process of maintenance training by the electronic equipment maintenance training system,this paper introduces theories about the Bayesian network,which proposes the Bayesian diagnosis model based on probabilistic reasoning and analyzes fault diagnosis through the transformation from fault tree to Bayesian network model.Through analysis and reasoning of transmitter fault training subject,the result successfully proves the reliability and effectiveness of Bayesian network model on the fault diagnosis of electronic equipment maintenance training system.It provides important theoretical basis for fast fault diagnosis to maintenance personnel in maintenance training and can be a reference for maintenance training systems of other equipments.
maintenance training system fault diagnosis Bayesian network model fault localization
Zhe Rao Jin-Hua Hu
College of Electronic Engineering, Naval University of Engineering, Wuhan, China
国际会议
天津
英文
261-265
2012-10-16（万方平台首次上网日期，不代表论文的发表时间）