Advanced materials such as continuous carbon fiber-reinforced thermoplastic (CFRP) laminates are commonly used in many industries, mainly because of their strength, stiffness to weight ratio, toughness, weldability, and repairability. Structural components working harsh environments satellites permanently exposed some sort damage during lifetimes. To detect characterize these damages, non-destructive testing evaluation techniques essential tools, especially for composite materials. In this...

Pulsed thermography is an indispensable tool in the field of non-destructive evaluation. However, data generated by this technique can be challenging to analyze and require expertise interpret. With rapid progress deep learning, image segmentation has become a well-established area research. This motivated efforts apply learning methods evaluation processing, including pulsed thermography. Despite trend, there been lack public datasets available for various spatial-temporal models tasks....

In response to the growing inspection demand exerted by process automation in component manufacturing, Non-destructive testing (NDT) continues explore automated approaches that utilize deep learning algorithms for defect identification, including within digital X-ray radiography images. This necessitates a thorough understanding of implication image quality parameters on performance these models. study investigates influence two parameters, namely Signal-to-Noise Ratio (SNR) and...

In response to the growing inspection demand exerted by process automation in component manufacturing, non-destructive testing (NDT) continues explore automated approaches that utilize deep-learning algorithms for defect identification, including within digital X-ray radiography images. This necessitates a thorough understanding of implication image quality parameters on performance these models. study investigated influence two image-quality parameters, namely signal-to-noise ratio (SNR)...

Industrial radiography is a pivotal non-destructive testing (NDT) method that ensures quality and safety in wide range of industrial sectors. Conventional human-based approaches, however, are prone to challenges defect detection accuracy efficiency, primarily due the high inspection demand from manufacturing industries with production throughput. To solve this challenge, numerous computer-based alternatives have been developed, including Auto-mated Defect Recognition (ADR) using deep...

Abstract Cognitive sensor systems (CSS) determine the future of inspection and monitoring for nondestructive evaluation (NDE) material states their properties key enabler NDE 4.0 activities. CSS generate a complete data information ecosystem, i. e. they are part materials space integrated in concepts Industry (I4.0). Thus, elements Industrial Internet Things (IIoT) required interfaces. Applied Artificial Intelligence (AI) is element development cognitive systems. On one side, AI can be...

Pulsed thermography is a vital technique in the nondestructive evaluation field. However, its data analysis can be complex and requires skilled experts. Advances deep learning have yielded exceptional results, including image segmentation. Therefore, many efforts been made to apply methods processing for evaluation. Despite this, there currently no public thermographic dataset available evaluating various spatial-temporal of segmenting pulsed data. This article aims provide such assess...

Industrial radiography is a pivotal non-destructive testing (NDT) method that ensures quality and safety in wide range of industrial sectors. Conventional human-based approaches, however, are prone to challenges defect detection accuracy efficiency, primarily due the high inspection demand from manufacturing industries with production throughput. To solve this challenge, numerous computer-based alternatives have been developed, including Automated Defect Recognition (ADR) using deep learning...

Non-radiative recombination of perovskite solar cells (PSCs) will increase as a result the numerous crystallographic defects that solution-grown films cause, particularly at grain boundary and film surface. As result, it negatively influences performance device. Consequently, lowering is useful strategy for raising efficiency PSCs. This study reports regeneration passivation approach can decrease loss layer/charge transfer layer interface border. Guanidine iodide (GAI) treatment means by...

Pulsed thermography is one of the most popular inspection methods. During an experiment pulsed thermography, a specimen quickly heated, and infrared images are captured to provide information about specimen's surface subsurface conditions. Adequate transformations usually performed enhance contrast thermal highlight abnormal regions before these visually inspected. Given that deep neural networks have been success in computer vision past few years, data enhancement approach with stacked...

RGB-D cameras are becoming more and popular in the areas of Simultaneous Localisation Mapping (SLAM). Visual Feature matching dense point cloud ICP main methods to estimate camera pose existing SLAM system. Only using visual information, feature method can hardly obtain accurate enough result as appearance features sparse. Making use depth information alone, cannot avoid converging an incorrect local minimum when environment has poor 3D geometry. In this paper, we propose a robust fusion...

Industrial radiography is a pivotal non-destructive testing (NDT) method that ensures quality and safety in wide range of industrial sectors. Nevertheless, the conventional human-based approaches to carrying out are prone challenges negatively impact accuracy efficiency defect detection. To solve this challenge, numerous computer-based alternatives have been developed, including Automated Defect Recognition (ADR) using deep learning algorithms. At core training, these ADR algorithms demand...

Abstract Polar aprotic solvents such as dimethylacetamide (DMAc) play a crucial role in the chemical industry. Pervaporation is membrane separation technology suitable for dehydration of organic solvents. In this study, thin polyamide (PA) pervaporation membranes with different structures were prepared by interfacial polymerization using trimesoyl chloride (TMC) phase, and either m-phenylenediamine (MPDA), propylene diamine (DAPE), or tetraethylene pentamine (TEPA) aqueous phase. addition,...

Pulsed thermography is an established nondestructive evaluation technology that excels at detecting and characterizing subsurface defects within specimens. A critical challenge in this domain the accurate estimation of defect depth. In paper, a new publicly accessible pulsed infrared dataset for PVC specimens introduced. It was enriched with 3D positional information to advance research area. To ensure labeling quality, comparative analysis two distinct data methods conducted. The first...

As deep learning-based algorithms keep leading the data segmentation tasks, many efforts are being conducted for their applications in processing of pulsed thermography sequences. Conventional preprocessing methods, such as phase transformation and principal component analysis still popular community enhancement methods to improve contrasts signal-noise ratio infrared images. In this contribution, impact applying two conventional on performance learning computational time is evaluated. The...