首页|基于FBPNN的火电厂锅炉故障诊断研究

基于FBPNN的火电厂锅炉故障诊断研究

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在神经网络(NN)基础上,将模糊逻辑引入反向传播(BP)神经网络中,构建了模糊BP神经网络(FBPNN),并将其应用于火电厂锅炉故障诊断中.FBPNN在锅炉故障样本上进行了训练和测试,误差分析表明,与传统的标准BP网络相比,FBPNN能获得更好的锅炉故障诊断结果.
Research on fault diagnosis of boiler in thermal power plant based on FBPNN
On the basis of neural network(NN),fuzzy logic is introduced into back propagation(BP)neural network to con-struct fuzzy BP neural network(FBPNN),which is applied to boiler fault diagnosis in thermal power plants.FBPNN is trained and tested on boiler fault samples.The error analysis shows that compared with the traditional standard BP network,FBPNN can obtain better boiler fault diagnosis results.

BP neural networksimulation logicboiler fault diagnosisinformation fusionmembership

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国电内蒙古东胜热电有限公司,鄂尔多斯 017000

BP神经网络 模拟逻辑 锅炉故障诊断 信息融合 隶属度

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(14)