
The acoustic emission technique (AET) is one of the powerful non-destructive techniques to diagnose the deformation status of solid objects. Acoustic waves propagate through solids as elastic waves. By examining the elastic wave signals in time- or frequency-domain, or by analyzing the characteristic feature of the waveform, we can diagnose various information on material properties, such as the deformation status, of the test object.
Although the concept of AET has been known for the last five decades, the efficient use of the technique is still in debate. This Webinar discusses various signal processing and analytic techniques such as the Principal Component Analysis and other feature identification techniques used in the neural network method. On the application side, we discuss various case studies, such as in-situ monitoring of ancient artworks. Recent advancement of time-domain spectroscopy in the terahertz frequency range for inspection of architectural art and building structures is another topic of interest.
Date: 10 November 2021
Time: 3:00pm CET | 9:00am EST | 10:00pm CST Asia
Webinar ID: 869 1727 0326
Webinar Secretariat: materials.webinar@mdpi.com

