A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Electronic nose systems for fire alarm systems
Conventional fire detectors use the smoke density or the high air temperature to trigger the fire alarm. These devices lack of ability to detect the source of fire in the early stage and they always create false alarms. A reliable EN (Electronic Nose) system designed form the combination of various MOGS (Metal Oxide Gas Sensors) is applied to detect the early stage of fire form various sources. The time series signals of the same source of fire in every repetition data are highly correlated and each source of fire has a unique pattern of time series data. Therefore, the layered neural network is applied to detection of the tested smell with 99.6 % of correct classification by using only a single training data from each source of fire. The results of the k-means algorithm can be achieved 98.3 % of correct classification which also show the high ability of the EN to detect the early stage of fire from various sources accurately.
Electronic nose systems for fire alarm systems
Conventional fire detectors use the smoke density or the high air temperature to trigger the fire alarm. These devices lack of ability to detect the source of fire in the early stage and they always create false alarms. A reliable EN (Electronic Nose) system designed form the combination of various MOGS (Metal Oxide Gas Sensors) is applied to detect the early stage of fire form various sources. The time series signals of the same source of fire in every repetition data are highly correlated and each source of fire has a unique pattern of time series data. Therefore, the layered neural network is applied to detection of the tested smell with 99.6 % of correct classification by using only a single training data from each source of fire. The results of the k-means algorithm can be achieved 98.3 % of correct classification which also show the high ability of the EN to detect the early stage of fire from various sources accurately.
Electronic nose systems for fire alarm systems
Elektronische Nase für die Feuermeldung
Charumporn, Bancha (author) / Omatu, Sigeru (author) / Yoshioka, Michifumi (author) / Fujinaka, Toru (author) / Kosaka, Toshihisa (author)
2005
5 Seiten, 4 Bilder, 3 Tabellen, 6 Quellen
Conference paper
English
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