Multimode infrared thermal-wave imaging in non-destructive testing and evaluation (NDT&E): physical principles, modulated waveform, and excitation heat source

F Wang, J Sheng, S Sfarra, Y Zhou, L Xu, L Liu… - Infrared Physics & …, 2023 - Elsevier
Multimode Infrared thermal-wave imaging has the advantages of intuitive, efficient, large
detection area, non-contact, and long-distance detection respectively. It has a wide range of …

Novel detection approach for thermal defects: Study on its feasibility and application to vehicle cables

K Liu, Z Yang, W Wei, B Gao, D Xin, C Sun… - High …, 2023 - Wiley Online Library
It is important to accurately assess the thermal defect state of equipment to ensure its safe
operation. A novel thermal defect detection method called the square even‐order derivative …

Development of a physics-informed doubly fed cross-residual deep neural network for high-precision magnetic flux leakage defect size estimation

H Sun, L Peng, S Huang, S Li, Y Long… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Defect depth is an essential indicator in magnetic flux leakage (MFL) detection and
estimation. The quantification errors for defect depth are closely related to length and width …

Microcrack defect quantification using a focusing high-order SH guided wave EMAT: The physics-informed deep neural network GuwNet

H Sun, L Peng, J Lin, S Wang, W Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
It is challenging to apply deep learning in professional fields that lack big data support,
especially in industrial structure health assessments using ultrasonic guided wave …

A study on depth classification of defects by machine learning based on hyper-parameter search

H Chen, Z Zhang, W Yin, C Zhao, F Wang, Y Li - Measurement, 2022 - Elsevier
To overcome the low efficiency of crack depth detection of steel, we explored for the first time
the method based on hyper-parameters search in the field of defect depth classification. And …

Automatic high depth-resolvability inspection of TBC debonding defects using nonlinear frequency modulation photothermal radar

Z Luo, F Chen, E Zheng, P Shen, H Zhang - NDT & E International, 2024 - Elsevier
In this article, a novel nonlinear frequency modulation (NLFM) photothermal radar whose
instantaneous frequency curve is a concave quadratic function is proposed and further …

The photothermal wave field and high-resolution photothermal pulse compression thermography for ceramic/metal composite solids

Z Luo, H Luo, S Wang, F Mao, G Yin, H Zhang - Composite Structures, 2022 - Elsevier
Pulse compression thermography has been recently developed to increase the signal-to-
noise ratio (SNR) and enhance depth resolvability. However, a distinctively high SNR and …

An end-to-end physics-informed neural network for defect identification and 3-D reconstruction using rotating alternating current field measurement

J Zhao, W Li, X Yin, X Li, Q Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The alternating current field measurement (ACFM) technique has been widely used in the
defect detection of metal structures. However, the identification and reconstruction of defects …

Transient thermal pattern separation and detection of conductive defects in composite insulators using eddy current pulsed thermography

Y Tu, H Mei, L Liu, Z Shen, C Guo, L Wang - NDT & E International, 2022 - Elsevier
Composite insulators are prone to internal conductive defects owing to their long-term high-
voltage operation and outdoor aging. In this study, a method based on eddy current pulsed …

Depth resolved pulse compression favourable frequency modulated thermal wave imaging for quantitative characterization of glass fibre reinforced polymer

A Rani, R Mulaveesala - Infrared Physics & Technology, 2020 - Elsevier
InfraRed Thermography is an expeditiously growing non-destructive testing and evaluation
technique widely used to estimate the subsurface defect details in fibre reinforced polymer …