New automatic localization technique of acoustic emission signals in thin metal plates

摘要: Abstract In acoustic emission (AE) measurement, the information of arrival time is very important for event location, identification and source mechanism analysis. Manual picks are time-consuming sometimes subjective, especially in case large volumes digital data. Various techniques have been presented literature routinely used practice such as amplitude threshold, analysis long-term average/short-term average (LTA/STA), high-order statistics or artificial neural networks. A new automatic determination technique first times AE signals thin metal plates. Based on Akaike’s criterion, proposed algorithm detection uses a specific characteristic function, which sensitive to change frequency contrast others envelope signal. The approach applied data sets three different tests. Reliable results show potential our approach.