ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Genetic fuzzy system for online structural health monitoring of composite helicopter rotor blades

Pawar, Prashant M and Ganguli, Ranjan (2007) Genetic fuzzy system for online structural health monitoring of composite helicopter rotor blades. In: Mechanical Systems and Signal Processing, 21 (5). pp. 2212-2236.

[img] PDF
Genetic_fuzzy-139.pdf
Restricted to Registered users only

Download (326Kb) | Request a copy

Abstract

A structural health monitoring (SHM) methodology is developed for composite rotor blades. An aeroelastic analysis of composite rotor blades based on the finite element method in space and time and with implanted matrix cracking and debonding/delamination damage is used to obtain measurable system parameters such as blade response, loads and strains. A rotor blade with a two-cell airfoil section and $[0/ \pm 45/90]_s$ family of laminates is used for numerical simulations. The model based measurements are contaminated with noise to simulate real data. Genetic fuzzy systems (GFS) are developed for global online damage detection using displacement and force-based measurement deviations between damaged and undamaged conditions and for local online damage detection using strains. It is observed that the success rate of the GFS depends on number of measurements, type of measurements and training and testing noise level. The GFS work quite well with noisy data and is recommended for online SHM of composite helicopter rotor blades.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to Elsevier.
Keywords: Genetic fuzzy system;Online damage detection;Composite rotor blade;Matrix cracking;Debonding/delamination
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 23 Aug 2007
Last Modified: 19 Sep 2010 04:39
URI: http://eprints.iisc.ernet.in/id/eprint/11770

Actions (login required)

View Item View Item