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.


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    Title :

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


    Contributors:
    Foo, S.Y. (author)

    Published in:

    Publication date :

    2000


    Size :

    11 Seiten, 20 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English