期刊
IEEE ACCESS
卷 8, 期 -, 页码 222274-222284出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.3043398
关键词
Vibrations; Fault diagnosis; Atmospheric modeling; Tensors; Mathematical model; Feature extraction; Hardware; Air compressors; fault diagnosis; vibration tensor; nuclear power plants; VOW method
资金
- Fundamental Research Funds of Guangdong province [2019B1515120060]
- Open Funds of State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment
Nuclear Power Plant (NPP) have increasing demand to improve safety and reliability of air compressors with various fault diagnosis methods. Fault diagnosis methods may provide early fault warning information for air compressors rapidly and give a reference for maintenance, especially for the serious faults affecting security strongly. In this work, a method framework of fault diagnosis system based on the Vibration Observation Window (VOW) for air compressors is proposed. The VOW constructs a dynamic vibration tensor which presents the operating state of air compressors according to the real time vibration data, strengthens the association among the monitoring data in spatial domain and time domain. Thus, dynamic characteristic, which reflects the fault information, can be contained in the dynamic vibration tensor explicitly. For proving the advantage of VOW method, we compare the performance between the fault diagnosis system with VOW and the fault diagnosis system without VOW based on different hardware environments: embedded computer, and high speed Industrial PC. The results show that the VOW method can both improve the performance of the vibration fault diagnosis system of NPPs in different hardware environments.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据