| 基于神经网络对轴承故障的智能诊断 |
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| 引用本文： | 刘珺,刘芳明. 基于神经网络对轴承故障的智能诊断[J]. 机械管理开发, 2004, 0(4): 68-70 |
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| 作者姓名： | 刘珺 刘芳明 |
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| 作者单位： | 煤科总院太原分院,山西,太原,030009;深圳江海金属结构有限公司,广东,深圳,518000 |
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| 摘 要： | 已知试验轴承的故障特征参数与非故障特征参数，采用何种方法对采自实际应用场合的轴承信号进行判断和处理是问题的关键。对比感知器网络和径向基函数网络对轴承的诊断结果，证明径向基函数网络具有较多的优越性，便于实际应用。
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| 关 键 词： | 神经网络 轴承 故障诊断 |
| 文章编号： | 1003-773X(2004)04-0068-03 |
| 修稿时间： | 2004-01-19 |
Intelligent Diagnosis for Bearing Trouble Based on Neural Network |
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| Liu Jun Liu Fangming. Intelligent Diagnosis for Bearing Trouble Based on Neural Network[J]. Mechanical Management and Development, 2004, 0(4): 68-70 |
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| Authors: | Liu Jun Liu Fangming |
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| Affiliation: | Liu Jun Liu Fangming |
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| Abstract: | How to diagnose and deal with bearing signal which is gathered on-the-spot is the key problem based on the known of bearing trouble feature parameter and non-trouble one.By contrast to bearing diagnosis result made by perceptron network and radial primary function network,shows that the radial primary function possesses more advantadges for practical application. |
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| Keywords: | Neural network Bearing Trouble diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
