| 神经网络在采煤机故障诊断专家系统中的应用 |
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| 引用本文： | 付家才,李浩,郭勇.神经网络在采煤机故障诊断专家系统中的应用[J].黑龙江科技学院学报,2007,17(5):344-346. |
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| 作者姓名： | 付家才 李浩 郭勇 |
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| 作者单位： | 黑龙江科技学院,电气与信息工程学院,哈尔滨,150027 |
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| 摘 要： | 为克服符号处理专家系统的局限性,解决采煤机故障诊断复杂的难题,设计了一种基于神经网络的采煤机故障诊断专家系统.该系统将传统专家系统与神经网络科学地加以综合,较好地解决传统专家系统存在的问题,提高系统的诊断速度和准确率.
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| 关 键 词： | 采煤机 故障诊断 神经网络 专家系统 神经网络 采煤机 故障诊断 诊断专家系统 应用 expert system machine fault diagnosis neural network 准确率 速度 问题 存在 综合 科学 传统专家系统 设计 处理 符号 |
| 文章编号： | 1671-0118（2007）05-0344-03 |
| 修稿时间： | 2007-07-16 |
Application of neural network in coal-mining machine fault diagnosis expert system |
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| FU Jiacai,LI Hao,GUO Yong.Application of neural network in coal-mining machine fault diagnosis expert system[J].Journal of Heilongjiang Institute of Science and Technology,2007,17(5):344-346. |
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| Authors: | FU Jiacai LI Hao GUO Yong |
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| Institution: | College of Electrical and Information Engineering, Heilongjiang Institute of Science and Technology, Harbin 150027, China |
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| Abstract: | Targeted at the limitation of symbolic-processing-based expert of fault diagnosis of coal-mining machine, the paper introduces the design of a system and the complexity type of fault diagnosis system for coal-mining machine, namely the system constructed by an expert system and a neural network. The system offers a better solution to the conventional expert system and enables a greater improvement in the rapidity and veracity of fault diagnosis. |
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