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基于支持向量机的多传感器船舶火灾探测技术
引用本文:夏德斌,李亚东,丁彬,辛鹏,杨洋.基于支持向量机的多传感器船舶火灾探测技术[J].造船技术,2020(6).
作者姓名:夏德斌  李亚东  丁彬  辛鹏  杨洋
摘    要:针对船舶火灾探测误报率高的情况,为提高火灾探测系统的可靠性,提出一种基于支持向量机的多传感器火灾信息融合方法。经过仿真试验证明,通过多传感器探测数据的有效融合,可以大幅提高火灾探测系统的火灾识别率。

关 键 词:火灾探测  多传感器  支持向量机

Multi-Sensor Ship Fire Detection Technology Based on Support Vector Machine
XIA Debin,LI Yadong,DING Bin,XIN Peng,YANG Yang.Multi-Sensor Ship Fire Detection Technology Based on Support Vector Machine[J].Journal of Marine Technology,2020(6).
Authors:XIA Debin  LI Yadong  DING Bin  XIN Peng  YANG Yang
Abstract:In terms of the situation that the ship fire detection is high in the false alarm rate, in order to improve the reliability of fire detection system, a multi-sensor fire information fusion method based on the support vector machine is proposed. The simulation test shows that the fire recognition rate of fire detection system can be greatly improved through the effective fusion of multi-sensor detection data.
Keywords:fire detection  multi-sensor  support vector machine
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