Fractal in Fault Diagnosis of Rolling Bearings
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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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