Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Construction of On-line Oil Monitoring System for Large Machinery

Authors
Yongliang Li, Xiaohu Chen, Junkang Chen
Corresponding Author
Yongliang Li
Available Online May 2017.
DOI
https://doi.org/10.2991/msmee-17.2017.90How to use a DOI?
Keywords
large machinery, malfunction analysis, online oil monitoring system.
Abstract

Through the analysis of the mechanical characteristics of large machinery, complex structure, complex operation conditions and high reliability requirements, once the failure will cause serious economic losses, and even lead to serious casualties of the accident. Fault diagnosis of construction application of on-line oil monitoring system is reasonable in large machinery, can timely carry out fault analysis and condition based maintenance, which ensure the safety of large machinery and reliable operation, avoid economic loss and safety accidents.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-346-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/msmee-17.2017.90How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yongliang Li
AU  - Xiaohu Chen
AU  - Junkang Chen
PY  - 2017/05
DA  - 2017/05
TI  - Construction of On-line Oil Monitoring System for Large Machinery
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 446
EP  - 450
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.90
DO  - https://doi.org/10.2991/msmee-17.2017.90
ID  - Li2017/05
ER  -