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基于模糊SDG的除氧器系统故障诊断

Fault Diagnosis of the Deaerator system based on fuzzy SDG

中文摘要英文摘要

本文针对已有模糊SDG方法存在信息丢失和节点关系不明确问题,在不影响其诊断分辨率的情况下,严格定义节点状态为五级,节点间影响关系为父节点对子节点的影响关系。这样避免了推导故障时发生节点信息丢失,和引起父节点与子节点概念的混淆。最后将此方法应用于电站的除氧器系统,进一步验证了此方法可以提高SDG故障诊断的分辨率。

In this paper, without affecting the resolution of fault diagnosis, the author specifically definite the node's statu and the affecting relationship between nodes. This approach mainly improve that the node statu strictly definite five, and the affecting relationship between nodes strictly definite the impact of parent node to child node. This can avoid the losing node's information, and the confusing concept between parent node and child node. Finally, this method is applied to the deaertor system of power plant.

王培鑫、谢刚

热力工程、热机热工量测、热工自动控制自动化技术、自动化技术设备

故障诊断SDG模糊推理

fault diagnosisSDGfuzzy reasoning

王培鑫,谢刚.基于模糊SDG的除氧器系统故障诊断[EB/OL].(2011-10-19)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201110-160.点此复制

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