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Study of the Transducer Fault Diagnosis Module for Fire Alarm System

As for different systems, there are much more intelligent algorithms for the sensors fault diagnosis. Some improvements and alternatives can be applied to several aspects of research. Many sensors fault modality are non-linear or general higher dimensional shapes to the diagnosis problem thus allowing to model arbitrarily complex failure phenomena. In the paper, the transducer fault diagnosis 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.