A Semisupervised Learning Framework for Recognition and Classification of Defects in Transient Thermography Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3101309
Abstract: The defect classification task is of great benefit to evaluating the safety performance of equipment and providing useful feedback information for discovering production process problems. In this article, we present a semisupervised learning (SSL) framework… read more here.
Keywords: framework; semisupervised learning; detection; transient thermography ... See more keywords
Distance Effect in Transient Thermography for Internal Defects Detection in Composites
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3207827
Abstract: Composite materials are commonly used in industrial systems for their superior physical and chemical properties. Due to the necessity for safety distance in industrial systems, nondestructive testing (NDT) for composites at long distances provides an… read more here.
Keywords: transient thermography; detection; distance; effect ... See more keywords