Fire detection and identification of wind turbines based on information fusion

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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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  -