A hub bearing in a wheel is connected to suspension system of an automobile. Noise and vibration from the faults of the bearing can diminish trust of the vehicle and also reduce comfort and delightfulness. Therefore, it is critical to find the faults in the bearing as early as possible for preventing from noise and vibration. To detect early faults signal in noise, we have to distinguish different characteristics between them. Minimum Variance Cepstrum (MVC) is introduced for observing periodicity of faults under noisy environment. This paper shows how the method is useful for detecting small faults. From the results of experiment, we found early faults in several bearings passed acceptance test. Moreover, we compared the results with other signal processing methods' one for inspecting how effective the method is.
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