| 高阶模糊BP神经网络及其在滚动轴承故障诊断中的应用 |
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| 引用本文： | 戚晓利,潘紫微. 高阶模糊BP神经网络及其在滚动轴承故障诊断中的应用[J]. 安徽工业大学学报, 2004, 21(3): 254-256 |
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| 作者姓名： | 戚晓利 潘紫微 |
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| 作者单位： | 安徽工业大学,机械工程学院,安徽,马鞍山,243002;安徽工业大学,机械工程学院,安徽,马鞍山,243002 |
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| 摘 要： | 将模糊逻辑理论与高阶BP神经网络结合起来，讨论了高阶模糊BP神经网络的结构、特点、二阶算法以及隶属函数的确定。并将该神经网络模型用于滚动轴承的故障诊断中，试验表明高阶模糊BP神经网络对轴承故障模式具有稳定、准确的识别能力，是一种行之有效的诊断方法。
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| 关 键 词： | 高阶模糊BP神经网络 隶属函数 二阶BP算法 |
| 文章编号： | 1671-7872(2004)03-0254-03 |
| 修稿时间： | 2003-10-24 |
High-order fuzzy BP neural networks and its application in fault diagnosis on ball bearing |
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| QI Xiao-li,PAN Zi-wei. High-order fuzzy BP neural networks and its application in fault diagnosis on ball bearing[J]. Journal of Anhui University of Technology, 2004, 21(3): 254-256 |
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| Authors: | QI Xiao-li PAN Zi-wei |
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| Abstract: | Fuzzy set theory is combined with high-order BP neural networks in this paper,and the structure and characteristic of high-order fuzzy BP neural networks and its two-orer algorithm and membership functions are introduced. The test indicates that high-order fuzzy BP neural networks can achieve steady and exact recognition for bearing's fault patterns when applied in ball bearing diagnosis, so it is an effective diagnostic method. |
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| Keywords: | high-order fuzzy BP neural networks membership functions two-order algorithm |
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