| 粗糙集与神经网络故障诊断组合方法应用 |
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| 引用本文： | 安文斗,刘平,吴存良,于乐泉.粗糙集与神经网络故障诊断组合方法应用[J].煤矿机电,2008(1):34-36. |
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| 作者姓名： | 安文斗 刘平 吴存良 于乐泉 |
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| 作者单位： | 1. 煤炭科学研究总院,重庆分院,重庆,400037
2. 攀枝花煤业集团公司,四川,攀枝花,617066 |
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| 摘 要： | 利用粗糙集理论对知识的约简能力及模糊神经网络的分类能力,构建粗糙集—神经网络故障诊断组合模型(RNN),具有良好的拓扑结构,学习速度大为提高。应用电力变压器实例验证,RNN模型诊断速度快,故障诊断正确率高。
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| 关 键 词： | 粗糙集 人工神经网络 故障诊断 粗糙集-神经网络 |
| 文章编号： | 1001-0874（2008）01-0034-03 |
| 收稿时间： | 2007-08-13 |
| 修稿时间： | 2007年8月13日 |
Application of Rough Set-Neural Network Combinatorial Fault-diagnosing Method |
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| AN Wen-dou,LIU Ping,WU Cun-liang,YU Le-quan.Application of Rough Set-Neural Network Combinatorial Fault-diagnosing Method[J].Colliery Mechanical & Electrical Technology,2008(1):34-36. |
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| Authors: | AN Wen-dou LIU Ping WU Cun-liang YU Le-quan |
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| Affiliation: | AN Wen-dou~1,LIU Ping~2,WU Cun-liang~2,YU Le-quan~1(1.China Coal Research Institution Chongqing Branch,Chongqing 400037,China,2.Panzhihua Coal Group Co.,Ltd.,Panzhihua 617066,China) |
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| Abstract: | Considering the reduction ability of rough set theory and the classification ability of fuzzy neural network, a rough set - neural network combinatorial fault-diagnosing model is constructed. The model enjoys a better topological structure and greatly increased speed for learning. The practical application to power transformer verifies that the model has comparably fast and accurate diagnosing abilities. |
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| Keywords: | rough set artificial neural network fault diagnosis rough set-neural network |
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