Multi-sensor fire detection algorithm for ship fire alarm system using neural fuzzy network

被引：0
|
作者：
Wang, XH [1 ]
Xiao, JM [1 ]
Bao, MZ [1 ]
机构：
[1] Shanghai Maritime Univ, Dept Elect Engn, Shanghai 200135, Peoples R China
来源：
2000 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I-III | 2000年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Multi-sensor fire detection algorithm (MSFDA) are one of the current important developments in ship fire detection technology. Old ship fire alarm systems often use single sensor and are based on simple logic judgement. To make a less erroneous alarm, a new MSFDA is developed based on fuzzy inference system, neural network. The multi-grade alarm of ship fire is realized by using multi-sensor integration and multi-parameter amalgamation.
引用
收藏
页码：1602 / 1605
页数：4
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