Similarity measure application to fault detection of flight system |
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Authors: | J H Kim S H Lee and Hong-mei Wang |
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Affiliation: | School of Mechatronics, Changwon National University, 9 Sarim-dong, Changwon, Gyeongnam, 641-773, Korea |
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Abstract: | Fault detection technique is introduced with similarity measure. The characteristics of conventional similarity measure based
on fuzzy number are discussed. With the help of distance measure, similarity measure is constructed explicitly. The designed
distance-based similarity measure is applicable to general fuzzy membership functions including non-convex fuzzy membership
function, whereas fuzzy number-based similarity measure has limitation to calculate the similarity of general fuzzy membership
functions. The applicability of the proposed similarity measure to general fuzzy membership structures is proven by identifying
the definition. To decide fault detection of flight system, the experimental data (pitching moment coefficients and lift coefficients)
are transformed into fuzzy membership functions. Distance-based similarity measure is applied to the obtained fuzzy membership
functions, and similarity computation and analysis are obtained with the fault and normal operation coefficients. |
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Keywords: | similarity measure fuzzy number distance non-convex membership function |
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