Fire detection and identification of wind turbines based on information fusion

被引：0

作者：

Wang, Changtao ^{[1
]}

Yuan, Tiancheng ^{[1
]}

Sun, Xiaotong ^{[1
]}

机构：

[1] Shenyang Jianzhu Univ, Sch Informat & Control Engn, Shenyang 110168, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ADVANCED ENGINEERING MATERIALS AND TECHNOLOGY | 2015年 / 38卷

关键词：

Wind power; Fire detection and identification RBF neural network Fuzzy Reasoning;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：860 / 864

页数：5