Wind Turbine Fire Image Detection Based on LVQ Neural Network

被引：0

作者：

Wang Changtao ^{[1
]}

Yuan Tiancheng ^{[1
]}

Sun Liangliang ^{[1
]}

Sun Xiaotong ^{[1
]}

机构：

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

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER) | 2016年

关键词：

LVQ Neural Network; flame image recognition; judgment of fire;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, wind turbine fires occur frequently with the rising number of wind turbines installations. This article, combined with powerful linear Learning Vector Quantization Neural Network, analyzes the flame video features. This paper proposes a flame recognition LVQ neural network model based on the color of flame characteristics, flame area change, centroid mobility characteristics and circularity of the flame. The fire detection and judgment of the wind turbine are basically realized.

引用

页码：437 / 441

页数：5

共 32 条

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