Fault detection and diagnosis for rotating machinery: A model-based approach

被引：0
|
作者：
Abdel-Magied, MF [1 ]
Loparo, KA [1 ]
Lin, W [1 ]
机构：
[1] Case Western Reserve Univ, Dept Syst & Control Engn, Cleveland, OH 44106 USA
来源：
PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 1998年
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：
This work formulates the problem of incipient fault detection and diagnosis for rotating machinery in a statistical model-based framework. This includes problem description, modeling of rotating machinery and fault mechanisms, formulation of the detection and diagnosis problem, and analysis of performance of the proposed technique.
引用
收藏
页码：3291 / 3296
页数：6
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