This paper draw character low-frequency of energy based on the time-frequency analysis of wavelet package.The fuzzy clustering methods are applied to detect and diagnose roller bearings. Through processing and analysis of many data, the diagnosis result is satisfactory. It shows that wavelet package analysis and fuzzy clustering methods can supply a convincing analysis means for roller bearings fault diagnosis.
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