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Research of Fault Diagnosis for the Electronic Equipment Maintenance Training System

机译:电子设备维修培训系统的故障诊断研究

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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.
机译:为了进行故障诊断分析,快速定位故障并提高维修人员在使用电子设备维修培训系统进行维修培训过程中的维修培训效率,本文介绍了贝叶斯网络理论,提出了基于贝叶斯诊断模型的贝叶斯诊断模型。通过从故障树到贝叶斯网络模型的转换,对概率推理进行分析,并进行故障诊断。通过对发射机故障培训主题的分析和推理,结果成功证明了贝叶斯网络模型在电子设备维修培训系统故障诊断中的可靠性和有效性。为维修人员进行维修培训提供快速故障诊断的重要理论依据,可为其他设备的维修培训系统提供参考。

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