Bearing fault diagnosis based on wavelet
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Xinsheng Lou; Kenneth A Loparo
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Article
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2004
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Elsevier Science
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English
โ 941 KB
This paper deals with a new scheme for the diagnosis of localised defects in ball bearings based on the wavelet transform and neuro-fuzzy classification. Vibration signals for normal bearings, bearings with inner race faults and ball faults were acquired from a motor-driven experimental system. The