| 基于小波和支持向量数据描述的故障智能诊断 |
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| 引用本文： | 岳建海. 基于小波和支持向量数据描述的故障智能诊断[J]. 科学技术与工程, 2009, 9(21) |
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| 作者姓名： | 岳建海 |
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| 作者单位： | 北京交通大学机械与电子控制工程学院,北京,100044;天津港(集团)有限公司,天津,300456 |
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| 摘 要： | 提出一种基于小波特征提取和支持向量数据描述的故障智能诊断方法,通过提取实测信号经小波分解后各频带重构信号的能量作为特征,进行支持向量数据描述分类器的训练和分类.通过对滚动轴承故障智能诊断实例表明,该方法可以有效提取信号的故障特征,改进支持向量数据描述在故障诊断中精确度.
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| 关 键 词： | 支持向量数据描述 小波分解 单值分类 故障诊断 |
| 收稿时间： | 2009-07-19 |
| 修稿时间： | 2009-07-19 |
Intelligent Fault Diagnosis Based on Wavelet and Support Vector Data Description |
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| Yue Jianhai. Intelligent Fault Diagnosis Based on Wavelet and Support Vector Data Description[J]. Science Technology and Engineering, 2009, 9(21) |
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| Authors: | Yue Jianhai |
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| Abstract: | In this paper, a novel method based on wavelet and SVDD was proposed, and it was applied to rolling bearings fault diagnosis. The results show that the presented method is efficient to extract the fault feature, reduce the dimension of the signals and improve the veracity of one-class classification in intelligent diagnosis significantly. |
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