State of the art of state monitoring and fault diagnosis for large rotating machinery

被引：0
作者：
Yang, Shixi [1 ]
Shang, Xiaolin [2 ]
Liu, Yibing [3 ]
Yan, Keguo [4 ]
Liu, Xuekun [1 ]
机构：
[1] School of Mechanical Engineering, Zhejiang University, Hangzhou
[2] Sichuan Dongfang Electric Autocontrol Engineering Co., Ltd., Deyang
[3] School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing
[4] Beijing Envada Software Engineering Co., Ltd., Beijing
来源：
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | 2015年 / 35卷 / 01期
关键词：
Fault diagnosis; Feature extraction; Rotating machinery; State monitoring;
D O I：
10.16450/j.cnki.issn.1004-6801.2015.01.001
中图分类号：
学科分类号：
摘要：
This paper discusses the significance of state monitoring and fault diagnosis of rotating machinery. A framework is put forward to support each other in four aspects of state monitoring and fault diagnosis: theories and methods, key technologies, systems diagnosis, and applications. An example of the research on the system of state monitoring and fault diagnosis for the ultra-supercritical steam turbine generator is given. Progress in the previously mentioned four aspects is reviewed. Finally, thoughts and suggestions about state monitoring and diagnostic studies of rotating machinery are given. ©, 2015, Nanjing University of Aeronautics an Astronautics. All right reserved.
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页码：1 / 11
页数：10
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