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Title: Investigation of the performance and improvement of optical smoke detectors
Authors: To H 
Fong, N 
Keywords: Euclidean distance
False alarm
Smoke detector
Issue Date: 2013
Publisher: Elsevier
Source: Procedia engineering, 2013, v. 62, p. 985-993 How to cite?
Journal: Procedia engineering 
Abstract: To reduce the false alarm from the smoke detectors, a series of experiments were conducted to collect and analyse the time series of signal pattern generated by the detectors under three fire categories - flaming fire (propanol), smoldering fire (cloth-cotton) and non-fire sources(joss stick and steam). The time series of each fire category was studied. Dissimilarity measure such as Euclidean Distance was used to discriminate the data collected. It is used to classify the fire category into fire class or non-fire class and enhance the effectiveness of the fire alarm judgment system. 30 sets of learning samples of each fire category (total: 120 experiments) are collected. It showed that the accuracy of smoke detector was over 80%. If multi-sensor (smoke and heat) detector was used, the accuracy was over 90%.
Description: 9th Asia-Oceania Symposium on Fire Science and Technology, AOSFST 2012, Hefei, 17-20 October 2012
EISSN: 1877-7058
DOI: 10.1016/j.proeng.2013.08.152
Rights: © 2013 International Association for Fire Safety Science. Published by Elsevier Ltd. Open access under CC BY-NC-ND license (
The following publication To, H., & Fong, N. (2013). Investigation of the performance and improvement of optical smoke detectors. Procedia engineering, 2013, 62, 985-993 is available at
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