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

Author

Foo, Simon Y.

Author_Institution

Dept. of Electr. Eng., Florida A&M Univ., Tallahassee, FL, USA

Volume

47

Issue

5

fYear

2000

fDate

10/1/2000 12:00:00 AM

Firstpage

1161

Lastpage

1171

Abstract

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

Keywords

aerospace engines; aircraft instrumentation; computer vision; fires; fuzzy set theory; image processing; statistical analysis; aircraft dry bays; engine compartments; false alarms testing; fire detection; fire event probability; flashlights; fuzzy logic approach; fuzzy rules; fuzzy sets; fuzzy system; high-power halogen lights; histogram data; hydrocarbon fires detection; image subtraction; image subtraction data; machine vision; mean statistical measure; normalized first-order moment statistical measures; standard deviation; statistical measures; successive image frames; Aircraft propulsion; Engines; Fires; Fuzzy logic; Fuzzy systems; Gas detectors; Histograms; Hydrocarbons; Image analysis; Measurement standards;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/41.873226

Filename

873226