摘要
研究煤灰的结渣特性是预测和诊断电站锅炉炉内结渣故障的第一步。综合应用模糊数学和神经网络的知识构造了一个模糊神经网络模型，用以判别煤灰的结渣特性。该方法是对已有的单一指标判别法和用模糊数学方法进行多个指标判别的改进。计算结果表明，该方法具有诊断速度快、结果准确的特点，为进一步研究煤灰结渣综合判别指标提供了一个新的途径。
In order to forecast and diagnose the slagging fault of boiler in power stations, it is necessary to study the slagging characteristic of coal ash. A fuzzy neural network model using fuzzy mathematics and neural network knowledge was discussed. It is based on the single index method and the multi index method using fuzzy mathematics. The results show the method diognoses faster, can get more accurate results and it provides a new method to further study the slagging synthetic index of coal ash.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
1999年第4期104-107,共4页
Journal of Tsinghua University(Science and Technology)
基金
国家自然科学基金
关键词
煤灰
模糊神经网络
预测
炉膛
结渣
电站锅炉
coal ash charactristic
distinguishing index
fuzzy neural network
