| 故障智能诊断技术及其在矿井提升机上的应用研究 |
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| 引用本文： | 罗永仁,晏飞. 故障智能诊断技术及其在矿井提升机上的应用研究[J]. 矿业快报, 2008, 24(1): 34-36,40 |
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| 作者姓名： | 罗永仁 晏飞 |
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| 作者单位： | 1. 风神轮胎股份有限公司
2. 贵州大学矿业学院 |
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| 摘 要： | 总结了国内外提升机智能故障诊断研究现状,并介绍了几种目前常用的诊断技术,概述了智能诊断技术在矿井提升机上的应用,指出了由模糊理论和人工神经网络等人工智能技术组成的组合式智能诊断新方法,是矿井提升机故障智能诊断技术的发展趋势,对保证矿井安全、高效和经济运行具有重要意义.
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| 关 键 词： | 提升机 模糊神经网络 小波分析 智能诊断 |
| 文章编号： | 1009-5683（2008）01-0034--03 |
| 收稿时间： | 2007-07-30 |
| 修稿时间： | 2007-07-30 |
Fault Intelligent Diagnosis Technology and Its Application in Mine Hoist |
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| Luo Yongren,Yan Fei. Fault Intelligent Diagnosis Technology and Its Application in Mine Hoist[J]. Express Information of Mining Industry, 2008, 24(1): 34-36,40 |
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| Authors: | Luo Yongren Yan Fei |
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| Affiliation: | Luo Yong Ren(Aeolus Tyre Co.,Ltd)Yan Fei(Mining College,Guizhou University) |
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| Abstract: | The present situation of research on the fault intelligent diagnosis technology for hoist at home and abroad is summed up and several commonly used diagnostic techniques are presented. Application of the intelligent diagnosis technology in mine hoist is summarized. It thinks that the new combined intelligent diagnosis method consisting of the fuzzy theory and artificial neural net is a development trend of the fault intelligent diagnosis technology for the mine hoist. The technology is of importance to guaranteeing mine safety and high-efficiency and economical operation. |
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| Keywords: | Mine hoist FNN Wavelet analysis Intelligent diagnosis |
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