Condition monitoring of slow-speed rolling element bearings using stress waves

被引:65
作者
Jamaludin, N [1 ]
Mba, D [1 ]
Bannister, RH [1 ]
机构
[1] Cranfield Univ, Sch Mech Engn, Cranfield MK43 0AL, Beds, England
关键词
autoregressive coefficients; dendrograms; K-means clustering; slow-speed rotating machinery; stress waves;
D O I
10.1177/095440890121500401
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Condition monitoring of rolling element bearings through the use of vibration analysis is an established technique for detecting early stages of component degradation. However, this success is not mirrored at rotational speeds below 16r/min. At such speeds the energy generated from bearing defects might not show as an obvious change in signature and thus becomes undetectable using conventional vibration measuring equipment. This paper presents an investigation into the applicability of stress wave analysis for detecting early stages of bearing damage at a rotational speed of 1.12 r/min (0.0187 Hz). Furthermore, it reviews work undertaken in monitoring bearings rotating at speeds below 16 r/min.
引用
收藏
页码:245 / 271
页数:27
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