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Similarity measure application to fault detection of flight system

  • J. H. Kim
  • S. H. LeeEmail author
  • Hong-mei Wang (王洪梅)
Article

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.

Key words

similarity measure fuzzy number, distance non-convex membership function 

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Copyright information

© Central South University Press and Springer Berlin Heidelberg 2009

Authors and Affiliations

  • J. H. Kim
    • 1
  • S. H. Lee
    • 1
    Email author
  • Hong-mei Wang (王洪梅)
    • 1
  1. 1.School of MechatronicsChangwon National UniversityGyeongnamKorea

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