Frontiers of Mechanical Engineering >

2010 , Vol. 5 >Issue 2: 165 - 170

DOI: https://doi.org/10.1007/s11465-009-0090-1

RESEARCH ARTICLE

Design and realization of a remote monitoring and diagnosis and prediction system for large rotating machinery

  • Shaohong WANG , 1 ,
  • Tao CHEN 1 ,
  • Jianghong SUN 2
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  • 1. School of Mechanical Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China
  • 2. Beijing Key Laboratory on Measurement and Control of Mechanical and Electrical System, Beijing Information Science & Technology University, Beijing 100192, China

Received date: 01 May 2009

Accepted date: 10 Jun 2009

Published date: 05 Jun 2010

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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Abstract

Traditional on-site fault diagnosis means cannot meet the needs of large rotating machinery for its performance and complexity. Remote monitoring and diagnosis technology is a new fault diagnosis mode combining computer technology, communication technology, and fault diagnosis technology. The designed remote monitoring and diagnosis and prediction system for large rotating machinery integrates the distributed resources in different places and breaks through shortcomings as the offline and decentralized information. The system can make further implementation of equipment prediction technology research based on condition monitoring and fault diagnosis, provide on-site analysis results, and carry out online actual verification of the results. The system monitors real-time condition of the equipment and achieves early fault prediction with great significance to guarantee safe operation, saves maintenance costs, and improves utilization and management of the equipment.

Key words： large rotating machinery; remote monitoring; fault diagnosis; prediction system

Cite this article

Shaohong WANG , Tao CHEN , Jianghong SUN . Design and realization of a remote monitoring and diagnosis and prediction system for large rotating machinery[J]. Frontiers of Mechanical Engineering, 2010 , 5(2) : 165 -170 . DOI: 10.1007/s11465-009-0090-1

Acknowledgements

This paper was supported by the Scientific Research Program of Beijing Municipal Commission of Education (KM200910772023) and Funding Project for Academic Human Resources Development in Institutions of Higher Learning under the Jurisdiction of Beijing Municipality (PHR20090518).

References

Publishing order | Descend order by publishing year | Descend order by cited within
1
Zhang H, Qian Z H, Peng D G. Design and realization of remote monitoring system for turbine-generator unit. Journal of Shanghai University of Electric Power, 2007, 23(2): 138–140, 156 (in Chinese)

2
Felser M. Real-time Ethernet-industry prospective. Computing & Control Engineering Journal, 2005, 93(6): 1118–1129

3
Yang T, Huang S H, Gao W. Research on remote network monitoring and fault diagnosis system of steam turbine sets. Power Engineering, 2004, 24(6): 840–844 (in Chinese)

4
Zheng L P, Liang L Q. Remote monitoring and fault diagnosis system of construction machinery. Construction Machinery, 2007, 38 (7): 4–8 (in Chinese)

5
Jia M F, Xu Y F, Zhong B L. Research on remote distributed fault diagnosis network system for steam turbine set. Proceedings of the Chinese Society for Electrical Engineering, 1998, 18(1): 60–63 (in Chinese)

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