采用SAX-LZC参数的轴承实时特征提取方法
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TH133.3;X839

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(山东省“泰山学者”专项经费资助项目;国家自然科学基金资助项目(51505492)


Bearing Real-Time Condition Monitoring and Fault Feature Extraction Using SAX-LZC
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    摘要:

    针对轴承振动实时状态监控的需要,从符号动力学角度提出了符号聚合近似与Lempel-ziv复杂度(SAX-LZC)融合的振动监控参数。首先,以Logistic映射和Duffing方程为对象,从理论角度验证了SAX-LZC对动力学结构表征的准确性,并验证了该指标的抗噪能力和计算效率;其次,将SAX-LZC指标与信息熵、样本熵、多分段Lempel-ziv复杂度等动力学参数性能进行了综合对比;最后,从实验角度对轴承早期微弱异常进行了监测,并对轴承典型故障进行了特征提取。理论研究结果表明,SAX-LZC具有动力学结构表征准确、抗噪能力好、计算高效简洁等优点,克服了常规动力学参数工程应用能力弱的问题。实验研究结果表明,SAX-LZC对早期微弱异常有准确的监测,对不同种类故障具有较好的区分度,弥补了时域和频域对轴承微弱故障表征能力不足的缺陷,是一种轴承振动实时状态监控与故障特征提取的有效参数。

    Abstract:

    Aiming at the need for real-time monitoring of bearing vibration,the monitoring parameter which fused symbolic aggregation approximation and Lempel-ziv complexity is proposed from symbolic dynamical point of view. Using Logistic map and Duffing equations as objects, the accuracy of SAX-LZC for dynamic structural characterization isverified from theoretical perspective, and the anti-noise ability and computational efficiency are verified also. Based on this, a comprehensive comparison of SAX-LZC with dynamic parameters such as information entropy, sample entropy, and multi-segment Lempel-ziv complexity is performed. The weak early abnormality of the bearing is monitored and the faults characteristic of the bearing are extracted from the experimental perspective. Theoretical research results show that SAX-LZC has the advantages of accurate dynamic structural characterization, good anti-noise ability, and high computational efficiency. It overcomes the weak application of conventional dynamic parameters. The experimental results show that the SAX-LZC accurately monitors early weak anomalies, and has good distinguishing ability for different types of faults. It remedies the shortcomings of time and frequency domains′insufficient representation ability to characterize bearing weak abnormalities. Therefore, it is an effective parameter for real-time monitoring and fault feature extraction of bearing vibration.

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  • 在线发布日期: 2020-05-07
  • 出版日期: 2020-04-30
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