基于时频维数的轴承故障诊断方法
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    摘要:

    提出了一种基于时、频域信号的多重分形故障诊断方法,给出了时、频域多重分形的具 体方法以及其数值算法。根据多重分形的定义及分形几何学相关原理,通过数学方法及信号 处理的相关理论,对该算法中网格划分种数J以及参数q的选取对计算结果的影响进行了研 究,并以此优化了J的取值范围和q的截止条件。通过LabVIEW仿真实验,对时、频域多重分 形方法 进行验证。发现该方法可以对不同信号进行有效识别,且与信号的能量大小及分布等因素相 关。依据此规律,进一步进行轴承故障诊断实验。实验表明,时、频域多重分形方法不但可以 准确完成故障有无的判断及故障类型的诊断,且在故障发生的早期就能够有效诊断出来,是一 种切实可行的方法。

    Abstract:

    Combining with the multi-fractal theory, a multi-fractal fault diagnosis theory based on signals in time and frequency domain has been provided, and the concrete method and numerical algorithm are supplied. According to the definition of multi-fractal and the related principle of fractal geometry, by math method and the related theory of signal processing, the research of the effect to the calculation of the selection of mesh type J and q parameter in algorithm has been done, and the value range of J and the cut off condition of q are optimized. By Lab VIEW simulation experiment, the multi-fractal method in time and frequency domain can be proved. The method can complete effective signal identification, which is related to the factors such as signal energy and distribution. It has specific law. According to the law, the further fault diagnosis experiment of bearings can be done. The experiment has shown that not only the multi-fractal method in time and frequency domain can complete the fault diagnosis, but also in the early stage of fault, the fault detection can be done. Therefore, that the multi-fractal method in time and frequency is used into fault diagnosis of bearing is a practicable method.

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  • 在线发布日期: 2013-06-08
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