State-of-the-Art Review on the Acoustic Emission Source Localization Techniques

he acoustic emission technique has been applied successfully for the identification, characterization, and localization of deformations in civil engineering structures. Numerous techniques, such as Modal Acoustic Emission, Neural Networks, Beamforming, Triangulation methods with or without prior knowledge wave velocity, have presented. Several authors conducted in-depth research AE sources. However, existing review papers do not focus on performance evaluation source techniques. This paper discusses these techniques based number sensors used geometry structures interest. Furthermore, it evaluates them basis their performance. At end this paper, a comparative analysis presented basic principles, key strengths, limitations. A deep learning circular sensor cluster-based solution potential to provide low-cost reliable