| 局域波法在机械故障诊断中的应用 |
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| 引用本文： | 郝志华,林田,田红霞,马壮. 局域波法在机械故障诊断中的应用[J]. 煤矿机械, 2006, 27(5): 895-897 |
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| 作者姓名： | 郝志华 林田 田红霞 马壮 |
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| 作者单位： | 1. 唐山学院,河北,唐山,063000
2. 河北理工大学,计控学院,河北,唐山,063000 |
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| 基金项目： | 河北省教育厅科研项目;唐山学院校科研和教改项目 |
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| 摘 要： | 针对故障振动信号的非平稳特征,提出了一种基于局域波分解的机械故障诊断方法。探讨了局域波法的原理和物理意义,表明局域波分解具有自适应的特性,特别适宜于非平稳信号的分解。将该方法应用于滚动轴承的故障振动信号分析中,结果表明局域波分解能够提取轴承微弱振动信号,突出滚动轴承的故障特性,提高滚动轴承故障诊断的准确性。
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| 关 键 词： | 局域波分解 故障诊断 非平稳信号 特征提取 |
| 文章编号： | 1003-0794（2006）05-0895-03 |
| 收稿时间： | 2006-02-20 |
| 修稿时间： | 2006-02-20 |
Application of Local Wave Method in Mechanical Fault Diagnosis |
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| HAO Zhi-hua,LIN Tian,TIAN Hong-xia,MA Zhuang. Application of Local Wave Method in Mechanical Fault Diagnosis[J]. Coal Mine Machinery, 2006, 27(5): 895-897 |
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| Authors: | HAO Zhi-hua LIN Tian TIAN Hong-xia MA Zhuang |
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| Affiliation: | 1. Tangshan College, Tangshan 063000, China; 2. Hebei Polytechnic University, Tangshan 063000, China |
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| Abstract: | According to the non - stationary characteristics of vibration signals from fault plant, a fault diagnosis approach based on local wave decomposition method is proposed. Discusses the theory of local wave decomposition and its physical significance, shows that it is suitable to non- stationary processes by self- adaptive shift process. The application of local wave decomposition shows that it can pick up the bearing weak vibration signal, stand out the fault feature of vibration signals in diagnosing bearings and improve the accuracy of the fault diagnosis. |
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| Keywords: | local wave decomposition fault diagnosis non - stationary feature extracting |
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