[HTML][HTML] Review of conventional and advanced non-destructive testing techniques for detection and characterization of small-scale defects

MI Silva, E Malitckii, TG Santos, P Vilaça - Progress in Materials Science, 2023 - Elsevier
Inspection reliability of small-scale defects, targeting dimensions below 100 µm, is crucial for
structural safety of critical components in high-value applications. Early defects are often …

Artificial intelligence, machine learning and smart technologies for nondestructive evaluation

H Taheri, M Gonzalez Bocanegra, M Taheri - Sensors, 2022 - mdpi.com
Nondestructive evaluation (NDE) techniques are used in many industries to evaluate the
properties of components and inspect for flaws and anomalies in structures without altering …

Noncontact sensing techniques for AI-aided structural health monitoring: a systematic review

A Sabato, S Dabetwar, NN Kulkarni… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Engineering structures and infrastructure continue to be used despite approaching or having
reached their design lifetime. While contact-based measurement techniques are challenging …

Revolutionizing concrete analysis: An in-depth survey of AI-powered insights with image-centric approaches on comprehensive quality control, advanced crack …

K Sarkar, A Shiuly, KG Dhal - Construction and Building Materials, 2024 - Elsevier
Over the last two decades, the integration of big data and deep learning technologies has
demonstrated remarkable effectiveness across various domains of civil engineering, leading …

Graphical image region extraction with k-means clustering and watershed

S Jardim, J António, C Mora - Journal of Imaging, 2022 - mdpi.com
With a wide range of applications, image segmentation is a complex and difficult
preprocessing step that plays an important role in automatic visual systems, which accuracy …

[HTML][HTML] Learning defects from aircraft NDT data

N Prakash, D Nieberl, M Mayer, A Schuster - NDT & E International, 2023 - Elsevier
Non-destructive evaluation of aircraft production is optimised and digitalised with Industry
4.0. The aircraft structures produced using fibre metal laminate are traditionally inspected …

Infrared thermographic fault detection using machine vision with convolutional neural network for blast furnace chute

X Cheng, S Cheng - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
The metallurgical industry is the manufacturing industry with the highest carbon emissions in
China. Carbon emission in blast furnace accounts for 73.6% of the total long process flow …

An accurate measurement method of lamb wave phase velocity based on clustering algorithms

X Gao, Y Tian, J Jiao, J Gao, C Li - Measurement, 2022 - Elsevier
Due to the large detection range and high sensitivity to damages, Lamb waves are widely
used in the localization and quantification of structural damages in a plate structure. The …

On smart geometric non-destructive evaluation: inspection methods, overview, and challenges

A Jaber, S Sattarpanah Karganroudi, MS Meiabadi… - Materials, 2022 - mdpi.com
Inspection methods, also known as non-destructive evaluation (NDE), is a process for
inspecting materials, products, and facilities to identify flaws, imperfections, and malfunctions …

Nondestructive inspection method of welding rate for heat sink fins with complex structure via infrared thermography principle and deep learning method

K Jiang, C Wang, J Ren, Z Li, T Ma - Expert Systems with Applications, 2025 - Elsevier
This paper proposes a non-destructive defect inspection technique based on infrared
thermal imaging and improved YOLOv5 algorithm to achieve accurate inspection of finned …