Fault detection and diagnosis of rotating machinery

被引：73

作者：

Loparo, KA ^{[1
]}

Adams, ML

Lin, W

Abdel-Magied, MF

Afshari, N

机构：

[1] Case Western Reserve Univ, Cleveland, OH 44106 USA

[2] Cairo Univ, Dept Elect Engn, Cairo, Egypt

[3] Cutler Hammer Eaton Corp, Pittsburgh, PA 15275 USA

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2000年 / 47卷 / 05期

基金：

美国国家科学基金会;

关键词：

fault detection; fault diagnosis; rotating machinery;

D O I：

10.1109/41.873208

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 approach to the detection and diagnosis of mechanical faults in rotating machinery is studied in this paper, For certain types of faults, for example, raceway faults in rolling element bearings, an increase in mass unbalance, and changes in stiffness and damping, algorithms suitable for real-time implementation are developed and evaluated using computer simulation.

引用

页码：1005 / 1014

页数：10

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