Damage monitoring by acoustic emission: application of multiparameter analysis to the thermal shock of refractory material in industry-like surrounding

Acoustic Emission (AE) can be used to discriminate the different types of damage occurring in a constrained material. However, in industrial surrounding the main problem associated with data analysis is the discrimination between the noises and the acoustic emission signals. The goal of our paper was to differentiate between air flow and AE signals produced by the material during thermal shock of a refractory material in a pseudo-industrial surrounding with multiparameter analysis. The clustering of AE data corrupted by noise was successfully achieved by the k-means method.