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Experiments in acoustic structural health monitoring of airplane parts

: Tschöpe, C.; Schulze, E.; Neunübel, H.; Wolff, M.; Schubert, R.; Hoffmann, R.


Institute of Electrical and Electronics Engineers -IEEE-:
2008 IEEE International Conference on Acoustics, Speech and Signal Processing. Vol. 5 : Las Vegas, NV, 31 March - 4 April 2008
Piscataway, NJ: IEEE, 2008
ISBN: 1-424-41483-0 (print)
ISBN: 1-424-41484-9
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) <33, 2008, Las Vegas>
Conference Paper
Fraunhofer IZFP, Institutsteil Dresden ( IKTS-MD) ()

In this preliminary study we investigate the application of statistical classifiers for structural health monitoring of materials commonly used in airplanes. Our approach is based on the propagation of ultrasonic guided waves through materials like aluminum or carbon fiber reinforced plastic (CFRP). When the material gets damaged, the sound propagation changes. There are two ways of detecting these changes: we can use a physical model of the wave propagation or we can use a statistical approach. In this paper we focus on the latter. We present results using classifiers based on Hidden Markov Models (HMM) and Support Vector Machines (SVM). We compare these results to acoustic travel time tomography as a representative of the physical model based methods.