| 基于小波分析的滚动轴承故障诊断系统的研究 |
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| 引用本文： | 王彬彬,饶泓,张江文.基于小波分析的滚动轴承故障诊断系统的研究[J].数字社区&智能家居,2009(9). |
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| 作者姓名： | 王彬彬 饶泓 张江文 |
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| 作者单位： | 南昌大学信工学院;南昌大学计算中心; |
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| 摘 要： | 针对机械设备滚动轴承的振动特性,研究一种优化的小波变换算法,并将其投入到滚动轴承的故障诊断中。对小波进行分解,以及阈值的选取方面进行技术性的研究,提高信噪比,提高故障诊断的精确性。在系统服务层上,使用Web开发技术开发基于B/S结构的在线监测系统,实现机械设备滚动轴承的远程监测、诊断管理。
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| 关 键 词： | 小波变换 故障诊断 小波分解 Web技术 B/S |
System Research of Rolling Bearing Fault Diagnosis Based on Wavelet Analysis |
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| WANG Bin-bin,RAO Hong,ZHANG Jiang-wen.System Research of Rolling Bearing Fault Diagnosis Based on Wavelet Analysis[J].Digital Community & Smart Home,2009(9). |
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| Authors: | WANG Bin-bin RAO Hong ZHANG Jiang-wen |
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| Affiliation: | 1.School of information and engineering;Nanchang University;Nanchang 330031;China;2.Computer center;China |
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| Abstract: | Machinery equipment of the rolling bearing vibration characteristics, studying optimization of wavelet transform algorithms, putting it into the rolling bearing fault diagnosis.Decompositting the wavelet, in the aspect of the threshold selected, taking technical research to improve the ratio of signal compared with noise and to improve the accuracy of fault diagnosis. In the service system, using Web technology to develop the on-line monitoring system based on B/S structure and to achieve the rolling bearin... |
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| Keywords: | wavelet transforms fault diagnosis wavelet decomposittion web technology B/S |
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