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Research on Fault Sample Knowledge Abstraction and Fault Fuzzy Diagnosis for Large Power Station Halving-style Condenser

机译:大型电站半对开式凝汽器故障样本知识抽象与故障模糊诊断研究

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摘要

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 authors. Then 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 examples.
机译:在作者开发的对折式冷凝器动态仿真模型的基础上,对对折式冷凝器的典型故障样本知识库进行了抽象和完善。然后利用模糊模式识别实现对分式冷凝器故障诊断。给出了一种新的从属函数,以克服一个旧函数的缺点。通过示例比较了两种不同功能的诊断效果。

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