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故障树和神经网络在遥测装备故障中的研究

Research on Telemetry Equipment's Fault Diagnosis Based on Fault Tree And Neural Networks
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摘要 论文通过分析遥测装备的故障特性及其原因,结合对遥测装备变频单元故障树的定性和定量分析。构建了基于故障树的人工神经网络故障诊断断系统,根据系统编写了相应的程序以实现功能。通过实例验证了方法的实用性和有效性,增强了遥测设备的智能故障诊断能力。 This paper analyzes the fault characteristics of telemetry equipment and its causes, with qualitative and quantitative analysis of fault tree of frequency conversion unit of telemetry equipment. A fault diagnosis system of artificial neural network based on fault tree is constructed, and the corresponding program is written according to the diagnosis flow. The practicality and effectiveness of the method are verified by an example, and the intelligent fault diagnosis capability of the telemetry equipment is enhanced.
作者 汪剑侠 石媛
出处 《船电技术》 2017年第5期20-23,26,共5页 Marine Electric & Electronic Engineering
关键词 遥测装备 故障诊断 故障树 神经网络 telemetry equipment fault diagnosis fault tree neural networks
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