Acoustic and ultrasonic techniques for defect detection and condition monitoring in water and sewerage pipes: A review
Condition monitoring for water and sewerage pipes is essential for the safety of the
environment, energy conservation and human health. This paper focuses on the application …
environment, energy conservation and human health. This paper focuses on the application …
Sizing of flaws using ultrasonic bulk wave testing: A review
Ultrasonic testing is a non-destructive method that can be used to detect, locate and size
flaws. The purpose of this paper is to review techniques that utilise ultrasonic bulk waves to …
flaws. The purpose of this paper is to review techniques that utilise ultrasonic bulk waves to …
Deep learning for ultrasonic crack characterization in NDE
Machine learning for nondestructive evaluation (NDE) has the potential to bring significant
improvements in defect characterization accuracy due to its effectiveness in pattern …
improvements in defect characterization accuracy due to its effectiveness in pattern …
[PDF][PDF] Highly sensitive and miniature microfiber-based ultrasound sensor for photoacoustic tomography
A microfiber with large evanescent field encapsulated in PDMS is proposed and
demonstrated for ultrasound sensing. The compact size and large evanescent field of …
demonstrated for ultrasound sensing. The compact size and large evanescent field of …
Automated detection and segmentation of internal defects in reinforced concrete using deep learning on ultrasonic images
ST Kuchipudi, D Ghosh - Construction and Building Materials, 2024 - Elsevier
Periodic inspection of concrete structures for detecting internal defects through
nondestructive imaging is recommended for ensuring structural safety and integrity …
nondestructive imaging is recommended for ensuring structural safety and integrity …
Uncertainty quantification for deep learning in ultrasonic crack characterization
Deep learning for nondestructive evaluation (NDE) has received a lot of attention in recent
years for its potential ability to provide human level data analysis. However, little research …
years for its potential ability to provide human level data analysis. However, little research …
SiWa: See into walls via deep UWB radar
Being able to see into walls is crucial for diagnostics of building health; it enables
inspections of wall structure without undermining the structural integrity. However, existing …
inspections of wall structure without undermining the structural integrity. However, existing …
Towards using convolutional neural network to locate, identify and size defects in phased array ultrasonic testing
T Latête, B Gauthier, P Belanger - Ultrasonics, 2021 - Elsevier
Abstract Machine learning algorithms are widely used in image recognition. In Phased Array
Ultrasonic Testing (PAUT), images are typically formed through constructive and destructive …
Ultrasonic Testing (PAUT), images are typically formed through constructive and destructive …
Towards a multi-fidelity deep learning framework for a fast and realistic generation of ultrasonic multi-modal Total Focusing Method images in complex geometries
This paper presents a deep-learning surrogate model tailored for a fast generation of
realistic ultrasonic images in the Multi-modal Total Focusing Method (M-TFM) framework …
realistic ultrasonic images in the Multi-modal Total Focusing Method (M-TFM) framework …
Automated defect recognition for welds using simulation assisted TFM imaging with artificial intelligence
T Gantala, K Balasubramaniam - Journal of Nondestructive Evaluation, 2021 - Springer
Abstract In this paper, Artificial Intelligence (AI) algorithms are employed for first, automating
the process of creating a large synthetic Total Focusing Method (TFM) imaging dataset using …
the process of creating a large synthetic Total Focusing Method (TFM) imaging dataset using …