A Review of Signal Processing Techniques for Ultrasonic Guided Wave Testing

• Type: Another Publication in an International Scientific Journal
• Date: 2022-05

Authors

Ana Rita Diogo (Author) Other; Bruno Moreira (Author) Other; Carlos Gouveia (Author) Other; João Manuel R. S. Tavares (Author) FEUP

Journal

Title: Metals

Pages: 1-20

Publisher: MDPI

Indexing

ISI Web of Knowledge - 0 Citations

ISI Web of Science

Scientific classification

CORDIS: Technological sciences

FOS: Engineering and technology

Other information

Authenticus ID: P-00W-TDW

DOI: 10.3390/met12060936

Abstract (EN): Ultrasonic guided wave testing (UGWT) is a non-destructive testing (NDT) technique commonly used in structural health monitoring to perform wide-range inspection from a single point, thus reducing the time and effort required for NDT. However, the multi-modal and dispersive nature of guided waves makes the extraction of essential information that leads to defect detection an extremely challenging task. The purpose of this article is to give an overview of signal processing techniques used for filtering signals, isolating modes and identifying and localising defects in UGWT. The techniques are summarised and grouped according to the geometry of the studied structures. Although the reviewed techniques have led to satisfactory results, the identification of defects through signal processing remains challenging with space for improvement, particularly by combining signal processing techniques and integrating machine learning algorithms.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 20