Acoustic emission source location in complex structures using full automatic delta T mapping technique. (May 2016)

• Record Type: Journal Article
• Authors: Al-Jumaili, Safaa Kh.; Pearson, Matthew R.; Holford, Karen M.; Eaton, Mark J.; Pullin, Rhys
• Is Part Of: Mechanical systems and signal processing. Volume 72/73(2016)
• Page Start: 513
• Page End: 524
• Publication Date: 2016-05
• Subjects: Acoustic emission -- Source location -- Complex structure -- Unsupervised clustering -- Delta T mapping technique; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2015.11.026
• Languages: English
• ISSNs: 0888-3270

Abstract

Abstract: An easy to use, fast to apply, cost-effective, and very accurate non-destructive testing (NDT) technique for damage localisation in complex structures is key for the uptake of structural health monitoring systems (SHM). Acoustic emission (AE) is a viable technique that can be used for SHM and one of the most attractive features is the ability to locate AE sources. The time of arrival (TOA) technique is traditionally used to locate AE sources, and relies on the assumption of constant wave speed within the material and uninterrupted propagation path between the source and the sensor. In complex structural geometries and complex materials such as composites, this assumption is no longer valid. Delta T mapping was developed in Cardiff in order to overcome these limitations; this technique uses artificial sources on an area of interest to create training maps. These are used to locate subsequent AE sources. However operator expertise is required to select the best data from the training maps and to choose the correct parameter to locate the sources, which can be a time consuming process. This paper presents a new and improved fully automatic delta T mapping technique where a clustering algorithm is used to automatically identify and select the highly correlated events at each grid point whilst the "Minimum Difference" approach is used to determine the source location. This removes the requirement for operator expertise, saving time and preventing human errors. A thorough assessment is conducted to evaluate the performance and the robustness of the new technique. In the initial test, the results showed excellent reduction in running time as well as improved accuracy of locating AE sources, as a result of the automatic selection of the training data. Furthermore, because the process is performed automatically, this is now a very simple and reliable technique due to the prevention of the potential source of error related to manual manipulation. Highlights: New fully automatic delta T mapping technique is introduced and verified. Acoustic emission source locations were tested in both simple and complex structures. Greatly decreases the process time from about 8 h to approximately 18 s. Improvements in the reliability of location calculation, through the elimination of human error. Significant improvements in efficiency are achieved through the reduction of required user inputs.