| 基于BP神经网络的垃圾焚烧过程故障诊断 |
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| 引用本文： | 陶怀志,孙巍,赵劲松,陈晓春,杨一新.基于BP神经网络的垃圾焚烧过程故障诊断[J].环境工程学报,2008,2(7):989-993. |
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| 作者姓名： | 陶怀志 孙巍 赵劲松 陈晓春 杨一新 |
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| 作者单位： | 1. 北京化工大学化学工程学院,北京,100029
2. 北京紫光泰和通环保技术有限公司,北京,101100 |
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| 基金项目： | 国家高技术研究发展计划(863计划)
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北京化工大学校科研和教改项目 |
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| 摘 要： | 应用BP神经网络方法,建立了垃圾焚烧过程故障诊断的模型.该方法采用梯度下降法训练网络权值,利用最优停止法对网络进行了优化,避免了过拟合现象.提高了BP神经网络的训练速度和泛化能力.并以实际焚烧过程工况数据进行性能检验,检验结果表明了该BP网络具有较高的诊断精度.
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| 关 键 词： | BP神经网络 垃圾焚烧 故障诊断 最优停止法 |
Fault diagnosis using BP neural networks for municipal solid waste incineration |
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| Tao Huaizhi,Sun Wei,Zhao Jinsong,Chen Xiaochun and Yang Yixin.Fault diagnosis using BP neural networks for municipal solid waste incineration[J].Techniques and Equipment for Environmental Pollution Control,2008,2(7):989-993. |
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| Authors: | Tao Huaizhi Sun Wei Zhao Jinsong Chen Xiaochun and Yang Yixin |
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| Institution: | College of Chemical Engineering,Beijing University of Chemical Engineering, Beijing 100029,College of Chemical Engineering,Beijing University of Chemical Engineering, Beijing 100029,College of Chemical Engineering,Beijing University of Chemical Engineering, Beijing 100029,College of Chemical Engineering,Beijing University of Chemical Engineering, Beijing 100029 and Beijing Unisplendour Taihetong Enviro.Tech., Ltd., Beijing 101100) |
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| Abstract: | A municipal solid waste (MSW) incineration process fault diagnosis model is established, which is based on a back propagation (BP) neural network. The network is trained with gradient descent approach. Optimal stopping rule is used to avoid overfitting and improve training speed as well as generalization ability. The test on real-time data shows that the method can correctly recognize different process operating conditions. |
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| Keywords: | BP neural network MSW incineration fault diagnosis optimal stopping rule |
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