| FAM神经网络在机械故障诊断中的应用 |
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| 引用本文： | 潘紫微,秦锋. FAM神经网络在机械故障诊断中的应用[J]. 煤矿机械, 2007, 28(2): 185-187 |
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| 作者姓名： | 潘紫微 秦锋 |
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| 作者单位： | 1. 安徽工业大学,机械工程学院,安徽,马鞍山,243002
2. 安徽工业大学,计算机学院,安徽,马鞍山,243002 |
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| 基金项目： | 安徽省教育厅自然科学基金 |
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| 摘 要： | 介绍了fuzzy ARTMAP(FAM)神经网络的一般原理。通过快慢结合学习方法和投票的操作策略,对FAM神经网络作了改进,提高了学习的稳定性和诊断的可靠性,与BP、径向基神经网络做了比较,证实了FAM神经网络在机械故障诊断中的优势。
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| 关 键 词： | ART 神经网络 模糊 ARTMAP 故障诊断 |
| 文章编号： | 1003-0794（2007）02-0185-03 |
| 修稿时间： | 2006-12-06 |
Application of Fam Neural Network to Fault Diagnosis |
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| PAN Zi-wei,QIN Feng. Application of Fam Neural Network to Fault Diagnosis[J]. Coal Mine Machinery, 2007, 28(2): 185-187 |
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| Authors: | PAN Zi-wei QIN Feng |
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| Abstract: | The theory of Fuzzy ARTMAP(FAM) neural network was described.In order to be adapted to character of fault diagnosis,fast_learn and slow_learn was integrated to improve the performance of FAM,voting operating strategies is also applied to it.The result of testing shows that the improved method not only gain the good result in a few of sample train,but also improves stability of train and reliability of diagnosis. |
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| Keywords: | ART neural network fuzzy ARTMAP fault diagnosis |
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