Yuyu Zhu

TL;DR: A novel unsupervised sparse component extraction algorithm is proposed for detecting micro defects while employing a thermography imaging system using the variational Bayesian framework and yields a high-accuracy objective performance.

TL;DR: The thermal pattern contrast method is proposed for weak thermal signal detection using eddy current pulsed thermography to enhance the detectability and sensitivity in microcrack detection and builds the motion context connected between the local and the global thermal spatial pattern.

TL;DR: In this article, the step heating contribution is recorded separately by mean of an additional measurement, which can effectively enhance the defect information and improve the thermal contrast between defect and non-defect areas when halogen lamps are used in combination with pulse-compression in reflection mode.

TL;DR: An ensemble joint sparse low-rank matrix decomposition algorithm is proposed by applying the optical pulse thermography (OPT) diagnosis system, and the weak defects information can be separated from strong noise and the resolution contrast of the defects has significantly been improved.

TL;DR: In this article, the mathematical derivation and the implementation of the periodic pulsed thermography have been established for detecting inner defects of lead-steel structure, especially conducted for detecting small and deep defects that require high energy to increase detectability.