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A fuzzy logic approach to fire detection in aircraft dry bays and engine compartments

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1 Author(s)
S. Y. Foo ; Dept. of Electr. Eng., Florida A&M Univ., Tallahassee, FL, USA

In this paper, a fuzzy logic approach is applied to detect hydrocarbon fires in aircraft dry bays and engine compartments. The inputs to the fuzzy system consist of a set of statistical measures derived from the histogram and image subtraction analyses of successive image frames. Specifically, fuzzy rules based on the median, standard deviation, and normalized first-order moment statistical measures of histogram data and the mean statistical measure of image subtraction data of successive frames are used to compute the probability of a fire event. This fuzzy logic approach is also tested for false alarms such as those due to flashlights and high-power halogen lights. It is shown that image subtraction analysis can be used to accurately distinguish fires from false alarms

Published in:

IEEE Transactions on Industrial Electronics  (Volume:47 ,  Issue: 5 )