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  • 滾動軸承故障診斷中的分形

    Fractal in Fault Diagnosis of Rolling Bearings

    • 摘要: 簡述了滾動軸承運轉中時域序列所表現出的自相似性,重構了振動信號對應的嵌入相空間的序列,計算得出分維數,實驗結果表明,振動時域序列的分維數在不同工況、不同間隙下是有差別的,可以做為識別軸承故障的特征量。

       

      Abstract: Self-affine of time series which exists in vibration signals of rolling bearings is investigated. The vibration signals' imbedding space is rebuilt, and each the fractal dimension is calculated. Some experimental results are presentted. One technique based on the detecting fractal dimensions of time series in different working status is developed for recongnizing the rolling bearings' fault characteristics.

       

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