摘要
基于模糊信息处理和多层前馈感知器提出了汽轮机凝汽设备的故障诊断方案。详细介绍了模糊量化过程，并对神经网络的训练知识获取、知识表示、训练、泛化（即进行诊断）等过程作了详细描述。最后应用该方案对某凝汽器进行了故障诊断仿真研究，结果表明该方法行之有效。
Based on fuzzy information processing and multilayer perceptron, a fault diagnosis scheme of condenser is presented. Both the process fuzzified and the application of multilayer perceptron such as knowledge acquisition, knowl- edge representation, training and generalization are introduced in detail. Finally the scheme is proved practicable in the simulation of one condenser.
出处
《现代电力》
1998年第3期13-17,共5页
Modern Electric Power
关键词
凝汽器
故障诊断
模糊信息处理
神经网络
condenser, fault diagnosis, fuzzy information processing, neural networks, multilayer perceptron
