In:
Journal of Vibration and Control, SAGE Publications, Vol. 19, No. 6 ( 2013-04), p. 924-941
Abstract:
Monitoring of incipient faults is vital for the safe and reliable operation of rolling element bearings. In this paper, the combination of discrete wavelet transform and envelope analysis is proposed to extract the characteristic spectrum of rolling bearing vibration data. Then spectrum cross-correlation coefficient is applied to identify different operating conditions of rolling bearings. The proposed method is applied to fault diagnosis of rolling bearings with several different faults. The results show that the proposed method has high classification accuracy, and performs better than alternative approaches based on conventional characteristic defect frequency extraction.
Type of Medium:
Online Resource
ISSN:
1077-5463
,
1741-2986
DOI:
10.1177/1077546311435348
Language:
English
Publisher:
SAGE Publications
Publication Date:
2013
detail.hit.zdb_id:
2070247-4
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