ACOUSTIC
EMISSION & NDT SCIENTIFIC PUBLICATIONS
Pattern Recognition
Analysis of Acoustic Emission from Composites
Proceedings of EWGAE
- 23rd European Conference on AE Testing, Vienna, 6-8 May
1998, pp. 15-20
A. A. Anastassopoulos, T. P. Philippidis
Unsupervised Pattern Recognition (UPR) analysis is
proposed as an alternative to conventional
statistical techniques for the discrimination of AE
signals from composites. The AE data were classified
by means of partitional clustering algorithms and
the resulting partitions were numerically validated
by means of separability criteria and by direct
comparison with conventional inspection techniques.
In view of the above the AE signature from each
damage mode was established for the different
material configurations tested. The technique proved
suitable for the discrimination of AE signals from
composites and the results were successfully
correlated with those obtained by the complementary
inspection techniques. Damage accumulation from each
mode is described by means of the cumulative AE hits
of each class of the resulting partition as a
function of the applied load.