Fault detection and diagnosis in rotating machinery

被引:0
|
作者
Loparo, KA [1 ]
Afshari, N [1 ]
Abdel-Magied, M [1 ]
机构
[1] Case Western Reserve Univ, Cleveland, OH 44106 USA
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The detection and diagnosis of mechanical faults in rotating machinery using a model-based approach is studied in this paper. For certain types of faults, for example raceway faults in rolling element bearings, increase in mass unbalance and changes in stiffness and damping, algorithms suitable for real-time implementation are developed and tested.
引用
收藏
页码:2986 / 2991
页数:6
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