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

Shaohong WANG, Tao CHEN, Jianghong SUN

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PDF(252 KB)
Front. Mech. Eng. ›› 2010, Vol. 5 ›› Issue (2) : 165-170. DOI: 10.1007/s11465-009-0090-1
RESEARCH ARTICLE

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

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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.

Keywords

large rotating machinery / remote monitoring / fault diagnosis / prediction system

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Shaohong WANG, Tao CHEN, Jianghong SUN. Design and realization of a remote monitoring and diagnosis and prediction system for large rotating machinery. Front Mech Eng Chin, 2010, 5(2): 165‒170 https://doi.org/10.1007/s11465-009-0090-1

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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).

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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