| 四分位偏差分形维及其在齿轮故障识别中的应用 |
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| 引用本文： | 肖涵,李友荣,吕勇. 四分位偏差分形维及其在齿轮故障识别中的应用[J]. 振动与冲击, 2006, 25(6): 108-110 |
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| 作者姓名： | 肖涵 李友荣 吕勇 |
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| 作者单位： | 武汉科技大学机械自动化学院,武汉,430081 |
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| 基金项目： | 湖北省自然科学基金;武汉科技大学校科研和教改项目 |
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| 摘 要： | 介绍了用于非平稳、非线性信号的四分位偏差分形维算法，并通过仿真实例验证了此计算方法的准确性。针对齿轮振动信号的非平稳、非高斯、非线性特点，将四分位偏差分形维用于齿轮故障分类，结果表明此方法能很好地区分齿轮故障模式。以四分位偏差与相应的截距为特征量进行聚类，能更好地区分齿轮的各种故障模式。可将其用于在线故障识别。
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| 关 键 词： | 四分位偏差 分形维 齿轮 故障诊断 |
| 收稿时间： | 2005-12-19 |
| 修稿时间： | 2006-01-13 |
Quartile Deviation Fractal Dimension and Its Application to Gear Fault Identification |
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| Xiao Han,Li Yourong,Lü Yong. Quartile Deviation Fractal Dimension and Its Application to Gear Fault Identification[J]. Journal of Vibration and Shock, 2006, 25(6): 108-110 |
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| Authors: | Xiao Han Li Yourong Lü Yong |
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| Abstract: | The fractal dimension algorithm using quartile deviation on non-stationary and nonlinear signals is introduced.And the accuracy of this algorithm is verified by simulation.Because gear vibration signals are non-stationary,non-Gauss and nonlinear,gear faults are classified using quartile deviation fractal dimension.The results indicate that the algorithm can determine gear fault modes.The quartile deviation fractal dimension and corresponding intercept are used for cluster analysis as characteristic values.The method can be used for online fault identification. |
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| Keywords: | quartile deviation fractal dimension gear fault diagnosis |
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