A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotor blade leading edge materials

Luciano Sánchez, Inés Couso, Ana M. Palacios, Jose Palacios

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A methodology for obtaining fuzzy rule-based models from uncertain data is proposed. The granularity of the linguistic discretization is decided with the help of a new estimation of the mutual information between ill-known random variables, and a combination of boosting and genetic algorithms is used for discovering new rules. This methodology has been applied to predict whether the coating of an helicopter rotor blade is adequate, considering the shear adhesion strength of ice to different materials. The discovered knowledge is intended to increase the level of post-processing interpretation accuracy of experimental data obtained during the evaluation of ice-phobic materials for rotorcraft applications.

Original languageEnglish (US)
Pages (from-to)76-91
Number of pages16
JournalMechanical Systems and Signal Processing
Volume37
Issue number1-2
DOIs
StatePublished - May 1 2013

Fingerprint

Fuzzy systems
Turbomachine blades
Ice
Rotors
Helicopter rotors
Bond strength (materials)
Fuzzy rules
Random variables
Linguistics
Genetic algorithms
Coatings
Processing

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

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A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotor blade leading edge materials. / Sánchez, Luciano; Couso, Inés; Palacios, Ana M.; Palacios, Jose.

In: Mechanical Systems and Signal Processing, Vol. 37, No. 1-2, 01.05.2013, p. 76-91.

Research output: Contribution to journalArticle

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