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Gear Fault Diagnosis Based on Empirical Mode Decomposition and 1.5 Dimension Spectrum

机译：基于经验模态分解和1.5维谱的齿轮故障诊断

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摘要

Aiming at the nonlinear and nonstationary feature of mechanical fault vibration signal, a new fault diagnosis method, which is based on a combination of empirical mode decomposition (EMD) and 1.5 dimension spectrum, is proposed. Firstly, the vibration signal is decomposed by EMD and the correlation coefficient between each intrinsic mode function and original signal is calculated. Then these intrinsic mode function components, which have a big correlation coefficient, are selected to estimate its 1.5 dimension spectrum. And this method uses 1.5 dimension spectrum of each intrinsic mode function to reconstruct its power spectrum. And these power spectrums are summed to obtain the primary power spectrum of gear fault signal. Finally, the information feature of fault is extracted from the reconstructed 1.5 dimension spectrum. A model to reconstruct 1.5 dimension spectrum is established, and the principle and steps of the method are presented. Some simulated and measured gear fault signals have been processed to demonstrate the effectiveness of new method. The result shows that this method can greatly inhibit the interference of Gauss noise to raise the SNR and recognize the secondary phase coupling feature of the signal. The proposed method has a good real-time performance and provides an effective method to determine the early crack fault of gear root.
机译：针对机械故障振动信号的非线性和非平稳特性，提出了一种基于经验模态分解（EMD）和1.5维频谱的故障诊断方法。首先，通过EMD对振动信号进行分解，并计算出每个固有模式函数与原始信号之间的相关系数。然后选择这些具有较大相关系数的固有模式函数分量来估计其1.5维频谱。并且该方法使用每个固有模式函数的1.5维频谱来重构其功率谱。然后将这些功率谱相加以获得齿轮故障信号的主要功率谱。最后，从重构的1.5维谱中提取故障的信息特征。建立了重建1.5维光谱的模型，并给出了该方法的原理和步骤。一些模拟和测量的齿轮故障信号已经过处理，以证明新方法的有效性。结果表明，该方法可以极大地抑制高斯噪声的干扰，提高信噪比，识别信号的次级相位耦合特征。该方法具有良好的实时性，为确定齿轮齿根的早期裂纹故障提供了一种有效的方法。

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  • 来源
    《Shock and vibration》 |2016年第3期|5915762.1-5915762.10|共10页
  • 作者

    Cai Jianhua; Li Xiaoqin;

  • 作者单位

    Hunan Univ Arts & Sci, Dept Phys & Elect, Changde 415000, Peoples R China;

    Hunan Univ Arts & Sci, Dept Phys & Elect, Changde 415000, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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