A framework for the damage evaluation of acoustic emission signals through Hilbert-Huang transform

作者：Siracusano Giulio; Lamonaca Francesco; Tomasello Riccardo; Garesci Francesca; La Corte Aurelio; Carni Domenico Luca; Carpentieri Mario; Grimaldi Domenico; Finocchio Giovanni

来源：Mechanical Systems and Signal Processing, 2016, 75: 109-122.

DOI：10.1016/j.ymssp.2015.12.004

• Acoustic emission
• Damage detection
• Structural Health Monitoring
• Compression test
• Hilbert-Huang Transform
• 3D crack localization

The acoustic emission (AE) is a powerful and potential nondestructive testing method for structural monitoring in civil engineering. Here, we show how systematic investigation of crack phenomena based on AE data can be significantly improved by the use of advanced signal processing techniques. Such data are a fundamental source of information that can be used as the basis for evaluating the status of the material, thereby paving the way for a new frontier of innovation made by data-enabled analytics. In this article, we propose a framework based on the Hilbert-Huang Transform for the evaluation of material damages that (i) facilitates the systematic employment of both established and promising analysis criteria, and (ii) provides unsupervised tools to achieve an accurate classification of the fracture type, the discrimination between longitudinal (P-) and traversal (S-) waves related to an AE event. The experimental validation shows promising results for a reliable assessment of the health status through the monitoring of civil infrastructures.

• 出版日期2016-6-15