| 基于粗糙集-神经网络系统的采煤机故障诊断 |
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| 引用本文： | 周天沛,代洪.基于粗糙集-神经网络系统的采煤机故障诊断[J].煤矿机电,2007(5):57-59. |
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| 作者姓名： | 周天沛 代洪 |
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| 作者单位： | 徐州工业职业技术学院,机电工程系,江苏,徐州,221140 |
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| 基金项目： | 安徽省高校青年教师科研项目 |
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| 摘 要： | 利用粗糙集理论对原始数据进行约简,构建优化的粗糙集—神经网络智能系统。该系统能够提高采煤机故障诊断准确性和效率,有良好的应用前景。
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| 关 键 词： | 粗糙集 故障诊断 BP神经网络 采煤机 |
| 文章编号： | 1001-0874（2007）05-0057-03 |
| 修稿时间： | 2007-05-11 |
Fault Diagnosis of Shearer Based on Rough-set Neural Network System |
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| ZHOU Tian-pei,DAI Hong.Fault Diagnosis of Shearer Based on Rough-set Neural Network System[J].Colliery Mechanical & Electrical Technology,2007(5):57-59. |
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| Authors: | ZHOU Tian-pei DAI Hong |
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| Affiliation: | Department of Mechanical and Electrical Engineering, Xuzhou College of Industrial Technology, Xuzhou 221140, China |
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| Abstract: | The reduction of original data based on rough-set theory is derived and the optimized intelligent system with rough-set neural network is established in this paper. The system enhances the accuracy and efficiency of fault diagnosis of shearer and has a good applied prospect. |
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| Keywords: | rough-set fauh diagnosis BP neural network shearer |
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