混沌振子在滚动轴承故障特征提取中的应用
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Application of chaotic oscillator in fault feature extraction of rolling bearing
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国家自然科学基金资助项目(51375037)、教育部新世纪优秀人才支持计划(NCET-12-0759)

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    摘要:

    滚动轴承的故障信号往往是微弱的周期信号,而混沌振子对特定频率的微弱周期信号十分敏感,可以有效地检测出故障信号.介绍了混沌振子的数学模型和基本检测原理,以及策动力临界阈值的确定方法.将混沌振子检测法应用于滚动轴承外圈、内圈和滚动体故障信号的检测中,通过输出相图的变化来判断故障信号是否存在,有效地实现了对滚动轴承故障信号的检测.

    Abstract:

    Fault signal of rolling bearing is often weak periodic, and the chaotic oscillator is very sensitive to weak periodic signal with specific frequencycan detect the fault signal effectively. he mathematical model and the basic detection principle of the chaotic oscillator were introduced, the determination method of the dynamic critical threshold. The chaotic oscillator detection method was applied to the fault signal of rolling bearing, including the outer ring, the inner ring and the rolling elementwhether there was a fault signal through the changes between the output phase diagrams the detection of the fault signal rolling bearing was implemented effectively.

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李岭阳,王华庆,徐新韬,杨晓.混沌振子在滚动轴承故障特征提取中的应用[J].动力学与控制学报,2016,14(2):177~181; Li Lingyang, Wang Huaqing, Xu Xintao, Yang Xiao. Application of chaotic oscillator in fault feature extraction of rolling bearing[J]. Journal of Dynamics and Control,2016,14(2):177-181.

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历史
  • 收稿日期:2015-02-08
  • 最后修改日期:2015-05-06
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  • 在线发布日期: 2016-04-11
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