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AI-Driven Non-Destructive Testing Insights - MDPI Non-destructive testing (NDT) is essential for evaluating the integrity and safety of structures without causing damage The integration of artificial intelligence (AI) into traditional NDT methods can revolutionize the field by automating data analysis, enhancing defect detection accuracy, enabling predictive maintenance, and facilitating data-driven decision-making This paper provides a
Applied Sciences | Special Issue : Advances in Nondestructive Testing . . . The purpose of this special issue is to shed light on recent advances in the field of non-destructive testing and evaluation, including novel and emerging approaches for non-destructive testing and evaluation, inverse problem evaluation, and pioneering applications for a vast array of industries and laboratories
Study on Non-Destructive Testing Method of Existing Asphalt . . . - MDPI In order to enhance the efficiency and effectiveness of joint detection using 3D ground-penetrating radar and falling weight deflectometers, this study investigates non-destructive testing methods for existing asphalt pavements based on geostatistical correlation principles
Robotic Non-Destructive Testing - MDPI Non-destructive testing (NDT) and evaluation (NDE) are commonly referred to as the vast group of analysis techniques used in civil, medical, and industrial sectors to evaluate the properties of materials, tissues, components, or structures without causing any damage NDT NDE are vital to ensure the integrity of critical parts and social safety
Latest Advances in Common Signal Processing of Pulsed . . . - MDPI Non-destructive testing (NDT) is a broad group of testing and analysis techniques used in science and industry to evaluate the properties of a material, structure, or system for characteristic defects and discontinuities without causing damage Recently, infrared thermography is one of the most promising technologies as it can inspect a large area quickly using a non-contact and non