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1045389X07084713v1
19/10/1217    most recent
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First published on March 12, 2008, doi:10.1177/1045389X07084713

Journal of Intelligent Material Systems and Structures 2008;19:1217.

A more recent version of this article appeared on October 1, 2008

Article

Support Vector Machine based Online Composite Helicopter Rotor Blade Damage Detection System

Prashant M. Pawar* and Sung Nam Jung

Department of Aerospace Information Engineering, Konkuk University, Seoul 143-701, Korea

* To whom correspondence should be addressed.


  Abstract

This work explores a feasibility of using vibratory hub loads and support vector machine (SVM) to predict damage and hence the life consumption of the composite helicopter rotor blade. Generally, the initial part of the composite's life is dominated by matrix cracking; the intermediate part by debonding/delamination and the final failure due to fiber breakage. The simulated hub loads under various damage levels are obtained using a comprehensive aeroelastic analysis of the composite rotor blade with physics based damage modes and are then linked with the life consumption of the blade using a phenomenological model. The SVM is used for classification of the useful life of the blade into three classes which are useful to decide the prognostic action. The performance of the blade damage detection system is demonstrated using simulated hub loads obtained using a two-cell airfoil section representing the stiff-inplane blade. The model based hub load variations are contaminated with noise to simulate the real data. It is observed that the SVM based damage detection system is more robust, reliable and easy to implement than the rotating frame measurement based methods.

Key Words: structural health monitoring, support vector machine, helicopter safety, composite rotor blade, damage detection.


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