A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Multi-sensor fire detection algorithm for ship fire alarm system using neural fuzzy network
In this paper, a new fire detection system - multi-sensor fire detection algorithm (MSFDA) is introduced. MSFDA is one of the important technology in ship fire detection domain theory at present. Conventional ship fire alarm systems often use single sensor and are based on simple logic judgment. In order to reduce erroneous alarm, a new MSFDA is developed based on fuzzy-neural network (FNN). The multi-grade alarm of ship fire is accomplished by using multi- sensor integration and multi-parameter amalgamation.
Multi-sensor fire detection algorithm for ship fire alarm system using neural fuzzy network
In this paper, a new fire detection system - multi-sensor fire detection algorithm (MSFDA) is introduced. MSFDA is one of the important technology in ship fire detection domain theory at present. Conventional ship fire alarm systems often use single sensor and are based on simple logic judgment. In order to reduce erroneous alarm, a new MSFDA is developed based on fuzzy-neural network (FNN). The multi-grade alarm of ship fire is accomplished by using multi- sensor integration and multi-parameter amalgamation.
Multi-sensor fire detection algorithm for ship fire alarm system using neural fuzzy network
He, Zhenghong (author) / Pu, Jinyun (author) / Cai, Yi-Lun (author)
2002
5 Seiten, 8 Quellen
Conference paper
English
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