WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 12, 2016
Sleeve Bearing Fault Diagnosis and Classification
Authors: , ,
Abstract: Sleeve bearing is a bearing without any rotating element but with a sliding component, it is an expensive component in special machinery elements. Their faults can damage other principal machinery parts like shafts and cause very important production lost and high maintenance cost. Because those bearings are a special case just a few researchers studied detection and classification of sleeve bearing faults by data vibration analysis. In this paper we present a diagnosis and a classification methodologies applied to different kind of sleeve bearing damages. We develop a two-lobe bore sleeve bearing vibration database from a set of large induction machine equipment, then we use temporary and frequency process to diagnose faults, in the final step we classify those sleeve bearings by different methods based on entropy extraction and fault classifiers fusion.
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Pages: 163-170
WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 12, 2016, Art. #20