Fault detection and isolation in processes involving induction machines

被引:0
|
作者
Zell, C [1 ]
Medvedev, A [1 ]
机构
[1] Lulea Univ Technol, Control Engn Grp, S-97187 Lulea, Sweden
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A model-based technique for fault detection and isolation in electro-mechanical systems comprising induction machines is introduced. Two coupled state observers, one for the induction machine and another for the mechanical load, are used to detect and recognize fault-specific behaviors (fault signatures) from the real-time measurements of the rotor angular velocity and terminal voltages and currents. Practical applicability of the method is verified in full-scale experiments with a conveyor belt drive at SSAB, Lulea Works.
引用
收藏
页码:223 / 232
页数:10
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