大型电站半式凝汽器故障样本知识提取与故障模糊诊断研究

PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409) Pub Date : 2000-12-04 DOI:10.1109/ICPST.2000.900082

Ma Liang-yu, Wang Bing-shu, Ma Yongguang, Gao Jian-qiang, Tong Zhensheng

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引用次数: 4

摘要

在笔者建立的半式冷凝器动态仿真模型的基础上，对半式冷凝器的典型故障样本知识库进行了抽象和完善。将模糊模式识别技术应用于半动式冷凝器故障诊断。提出了一种新的从属函数，克服了旧函数的缺点。通过实例比较了两种不同函数的诊断效果。

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Research on fault sample knowledge abstraction and fault fuzzy diagnosis for large power station halving-style condenser

Typical fault sample knowledge library of the halving style condenser is abstracted and completed based on the dynamic simulation model of halving-style condenser developed by the authors. The fuzzy pattern recognition is used to realize halving-style condenser fault diagnosis. A new kind of subordinate function is given to overcome the demerit of one old function. Diagnostic effects of the two different functions are compared by example.

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PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409)

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