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An optimal global projection denoising algorithm and its application to shaft orbit purification

机译：最优全局投影去噪算法及其在轴轨净化中的应用

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摘要

Noise reduction is a main step in fault diagnosis of the rotating machinery. However, it is not effective enough to purify the nonlinear fault features from the vibration shaft orbits using the traditional signal denoising techniques. This article improved the global projection denoising algorithm via calculating the optimal time delay r and embedding dimension m, which can be regarded as an extension of the global phase space reconstruction. The de-noising effects of Lorenz signal and the experiment cases illustrated the optimal global projection method is very effective and reliable in reducing the noise and reconstructing the signals. Consequently, it is heavily recommended for use in fault diagnosis of large rotating machinery as well as in the other kinds of machinery.
机译：降低噪声是旋转机械故障诊断的主要步骤。然而，使用传统的信号去噪技术从振动轴轨道上消除非线性故障特征是不够有效的。通过计算最优时延r和嵌入维数m，改进了全局投影去噪算法，可以看作是全局相空间重构的一种扩展。 Lorenz信号的去噪效果和实验案例表明，最佳的全局投影方法在减少噪声和重构信号方面非常有效和可靠。因此，强烈建议将其用于大型旋转机械以及其他类型机械的故障诊断。

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  • 来源
    《Structural health monitoring》 |2011年第6期|p.603-616|共14页
  • 作者

    Shumin Hou; Ming Liang; Yourong Li;

  • 作者单位

    Hubei Province Key Laboratory of Machine Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, Hubei, 430081, People's Republic of China;

    Department of Mechanical Engineering, University of Ottawa, Ottawa,ON, KIN 6N5, Canada;

    Hubei Province Key Laboratory of Machine Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, Hubei, 430081, People's Republic of China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    noise reduction; global projection; phase space reconstruction; shaft orbit purification; fault diagnosis;

    机译：降低噪音;全球预测;相空间重构;井道净化故障诊断;

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