Proceedings of the 2015 International Conference on Advanced Engineering Materials and Technology

Fire detection and identification of wind turbines based on information fusion

Authors
Changtao Wang, Tiancheng Yuan, Xiaotong Sun
Corresponding Author
Changtao Wang
Available Online August 2015.
DOI
10.2991/icaemt-15.2015.163How to use a DOI?
Keywords
Wind power,Fire detection and identification RBF neural network Fuzzy Reasoning
Abstract

In this paper, the wind turbine operating environment studied, wind turbine fires detection method based on information fusion. The simulation tests proved the feature layer can be well judged the probability of fire, smoldering fire probability and no fire probability. And in the decision-making drawn the decision of fires probability. Can effectively reduce the probability of fires.

Copyright
© 2015, 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 2015 International Conference on Advanced Engineering Materials and Technology
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-6252-108-7
ISSN
2352-5401
DOI
10.2991/icaemt-15.2015.163How to use a DOI?
Copyright
© 2015, 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  - Changtao Wang
AU  - Tiancheng Yuan
AU  - Xiaotong Sun
PY  - 2015/08
DA  - 2015/08
TI  - Fire detection and identification of wind turbines based on information fusion
BT  - Proceedings of the 2015 International Conference on Advanced Engineering Materials and Technology
PB  - Atlantis Press
SP  - 860
EP  - 864
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaemt-15.2015.163
DO  - 10.2991/icaemt-15.2015.163
ID  - Wang2015/08
ER  -