Title :
Pattern Recognition for damage detection in aerospace vehicle structures
Author :
Goswami, Suparna ; Bhattacharya, Pallab
Author_Institution :
Dept. of Comput. Applic., Narula Inst. of Technol., Kolkata, India
fDate :
Nov. 30 2012-Dec. 1 2012
Abstract :
A Pattern Recognition based damage detection scheme for aerospace vehicle structures is proposed. It involves capturing mechanical vibration signals from plate like structures using displacement sensors; removal of noise and extraction of features using Wavelet Transform based signal processing techniques, and training a Neural Network Ensemble to classify and identify the damages that appear in the structure. A few cases are studied. Encouraging results are found in classifying single damages in the structure. However success rates dropped in case of identifying multiple damages for the same structural form. A sensor placement strategy is then drawn out that improved the results significantly.
Keywords :
aerospace computing; condition monitoring; feature extraction; learning (artificial intelligence); plates (structures); sensors; signal classification; signal detection; structural engineering computing; vibrations; wavelet transforms; aerospace vehicle structures; damage classification; damage detection scheme; damage identification; displacement sensors; feature extraction; mechanical vibration signals; neural network ensemble training; noise removal; pattern recognition; plate like structures; sensor placement strategy; wavelet transform based signal processing techniques; Feature extraction; Monitoring; Pattern recognition; Sensors; Signal processing; Vectors; Vibrations; Aerospace Structures; Feature Extraction; Neural Network Ensemble; Pattern Recognition; Structural Health Monitoring; Wavelet Transform;
Conference_Titel :
Emerging Applications of Information Technology (EAIT), 2012 Third International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4673-1828-0
DOI :
10.1109/EAIT.2012.6407890
