Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)

Design of Online Diagnostic System for Physical Parameters of Wind Turbine

Authors
Yujun Cai, Fang Yuan
Corresponding Author
Yujun Cai
Available Online October 2018.
DOI
10.2991/icmcs-18.2018.53How to use a DOI?
Keywords
Parameters; Online; Wind turbine
Abstract

Taking the wind turbine as the research object and taking the virtual instrument as the development platform, the monitoring and fault diagnosis methods are studied, and the remote condition monitoring and fault diagnosis system design of the wind turbine is realized. The functions realized by this system are data signal acquisition, data storage, vibration signal analysis, data remote transmission, alarm system and vibration fault diagnosis, which provide a reliable basis for improving the performance of wind turbines.

Copyright
© 2018, 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 8th International Conference on Management and Computer Science (ICMCS 2018)
Series
Advances in Computer Science Research
Publication Date
October 2018
ISBN
978-94-6252-590-0
ISSN
2352-538X
DOI
10.2991/icmcs-18.2018.53How to use a DOI?
Copyright
© 2018, 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  - Yujun Cai
AU  - Fang Yuan
PY  - 2018/10
DA  - 2018/10
TI  - Design of Online Diagnostic System for Physical Parameters of Wind Turbine
BT  - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
PB  - Atlantis Press
SP  - 260
EP  - 264
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmcs-18.2018.53
DO  - 10.2991/icmcs-18.2018.53
ID  - Cai2018/10
ER  -