Failure Detection of Fire Alarm Sensors Based on Information Fusion

As for the safety inspection and monitoring, it is very important to find the fault of the transducer itself. In view of the redundant transducer group are often used in the fire alarm system, this paper brings forward a fault diagnostic structure with the fire alarm sensors fault diagnosis module. This module introduces the information fusion basing on RBF neural network and the redundancy calculation, it shows that the failure of the fire alarm sensors can be detected and rehabilitated.