Title :
Multi-sensor fire detection algorithm for ship fire alarm system using neural fuzzy network
Author :
Wang Xihuai ; Xiao Jianmei
Author_Institution :
Dept. of Electr. Eng., Shanghai Maritime Univ.
Abstract :
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 the fuzzy inference system and neural network. The multi-grade alarm of ship fire is realized by using multi-sensor integration and multi-parameter amalgamation
Keywords :
alarm systems; fires; fuzzy neural nets; inference mechanisms; sensor fusion; ships; fire alarm system; fuzzy inference; fuzzy neural network; multigrade alarm; multiple-sensor fire detection; ships; Alarm systems; Detection algorithms; Fires; Fuzzy neural networks; Fuzzy systems; Logic; Marine vehicles; Neural networks; Sensor systems; Temperature sensors;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.893407
