Online segmentation of acoustic emission data streams for detection of damages in composites structures in unconstrained environments [chapter]

V Placet, E Ramasso, L Boubakar, N Zerhouni
2014 Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures  
An approach for unsupervised damage detection in ring-shaped Organic Matrix Composites (OMC) under loading based on acoustic emissions (AE) is proposed. It relies on a specific clustering algorithm called Gustafson-Kessel (GK) that manages fuzzy memberships to clusters and complex cluster's shape. A methodology is proposed to 1) make the algorithm robust to initialisation in order to obtain reproducible results and reliable statistical models representing OMC damages, 2) detect and assess AE
more » ... ct and assess AE activity (AEA) over time for AE data mining to emphasize the more relevant AE data in a huge amount of AE hits, 3) adapt the statistical models based on statistical process control using imprecise updating rate automatically tuned.
doi:10.1201/b16387-78 fatcat:hcyxpfqxvngp3cybmasjth4dai