Incorporating expected sparsity of damage into ultrasonic guided wave imaging algorithms

2012 ◽  
Vol 132 (3) ◽  
pp. 1933-1933
Author(s):  
Jennifer E. Michaels ◽  
Ross M. Levine
Keyword(s):  
Guided Wave ◽  
Ultrasonic Guided Wave ◽  
Wave Imaging ◽  
Imaging Algorithms

Ultrasonic guided wave imaging with deep learning: Applications in corrosion mapping

2022 ◽  
Vol 169 ◽  
pp. 108761
Author(s):  
Xiaocen Wang ◽  
Min Lin ◽  
Jian Li ◽  
Junkai Tong ◽  
Xinjing Huang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Guided Wave ◽  
Ultrasonic Guided Wave ◽  
Wave Imaging

Theory and Methodology of Electromagnetic Ultrasonic Guided Wave Imaging

2020 ◽  
Author(s):  
Songling Huang ◽  
Yu Zhang ◽  
Zheng Wei ◽  
Shen Wang ◽  
Hongyu Sun
Keyword(s):  
Guided Wave ◽  
Ultrasonic Guided Wave ◽  
Wave Imaging

scholarly journals Application of a Probabilistic Algorithm for Ultrasonic Guided Wave Imaging of Carbon Composites

2015 ◽  
Vol 70 ◽  
pp. 664-667 ◽  
Author(s):  
Jan Hettler ◽  
Morteza Tabatabateipour ◽  
Steven Delrue ◽  
Koen Van Den Abeele
Keyword(s):  
Guided Wave ◽  
Carbon Composites ◽  
Probabilistic Algorithm ◽  
Ultrasonic Guided Wave ◽  
Wave Imaging

Ultrasonic Guided Wave Imaging Techniques in Structural Health Monitoring

2008 ◽  
Author(s):  
Fei Yan ◽  
Joseph L. Rose ◽  
Roger L. Royer
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Guided Waves ◽  
Imaging Techniques ◽  
Guided Wave ◽  
Structural Health ◽  
Promising Tool ◽  
Ultrasonic Guided Wave ◽  
Sensor Position ◽  
Wave Imaging

Ultrasonic guided waves, due to theirs capability of interrogating a large structure from a single sensor position, has been proven as a promising tool for structural health monitoring (SHM). In this paper, we present two imaging approaches of utilizing guided wave leave-in-place sensors for early detection of defects in plate-like structures as well as for monitoring the defect growth. The first approach is based on a guided wave tomographic technique, in which the region surrounded by a sparse sensor array is monitored. The second one is a phased array approach, in which sensors are attached to a structure in a compact format to form an array. The region subjected to inspection and monitoring is the region outside the array. Both techniques have shown excellent capability of determining damage size, location, and severity.

Ultrasonic Guided Wave Imaging of a Composite Plate with Air-Coupled Transducers

2007 ◽  
Author(s):  
Fei Yan ◽  
Eric Hauck ◽  
Teresa Mor Pera ◽  
Joseph L. Rose
Keyword(s):  
Composite Plate ◽  
Guided Wave ◽  
Ultrasonic Guided Wave ◽  
Wave Imaging

Multipath ultrasonic guided wave imaging in complex structures

2015 ◽  
Vol 14 (4) ◽  
pp. 345-358 ◽  
Author(s):  
James S Hall ◽  
Jennifer E Michaels
Keyword(s):  
Guided Wave ◽  
Complex Structures ◽  
Ultrasonic Guided Wave ◽  
Wave Imaging

scholarly journals Statistical Analysis of Guided Wave Imaging Algorithms Performance Illustrated by a Simple Structural Health Monitoring Configuration

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Andrii Kulakovskyi ◽  
Olivier Mesnil ◽  
Bastien Chapuis ◽  
Oscar d’Almeida ◽  
Alain Lhémery
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Minimum Variance ◽  
Guided Wave ◽  
Localization Accuracy ◽  
Structural Health ◽  
Defect Interaction ◽  
Wave Imaging ◽  
Imaging Algorithms ◽  
Defect Imaging

Abstract A guided wave-based structural health monitoring (GW-SHM) system aims at determining the integrity of a wide variety of plate-like structures such as aircraft fuselages, pipes, and fuel tanks. It is often based on a sparse grid of piezoelectric transducers for exciting and sensing GWs that under certain conditions interact with damage while propagating. In recent years, various defect imaging algorithms have been proposed for processing GWs signals and, particularly, for computing an image representing the integrity of the studied structure. The performance of the GW-SHM system highly depends on a signal processing methodology. This paper compares defect localization accuracy of the three state-of-art defect imaging algorithms (delay-and-sum, minimum variance, and excitelet) applied to an extensive simulated database of GWs propagation and GWs-defect interaction in aluminum plate under varying temperature and transducers degradation. This study is conducted in order to provide statistical inferences, essential for SHM system performance demonstration.

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