Journal
INFRARED PHYSICS & TECHNOLOGY
Volume 92, Issue -, Pages 345-349Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.infrared.2018.06.027
Keywords
Pulse thermography; Thermal wave; Independent component analysis; Characteristic extraction algorithm
Categories
Funding
- Foundation for Innovative Research Groups of the National Nature Science Foundation of China [51521003]
- Chinese National Natural Science Foundation [61571153, 51173034]
- Self-planned Task of State Key Laboratory of Robotics and System (HIT)
- Programme of Introducing Talents of Discipline of Universities [B07108]
Ask authors/readers for more resources
As an important part of solid-propellant missile engine, the quality assurance of cladding layer 'high silicon oxygen phenolic resin (HSOPR) sheet' is very important. In this paper, independent component analysis enhanced pulse thermography (ICA-PT) was introduced to detect the subsurface defect of HSOPR. The basic principle of ICA was described. The experiment of HSOPR sheet with simulated flat bottomed holes (FBHs) detected by ICA-PT was carried out. Moreover, the comparative experiments of different algorithms such as pulse phase thermography, continuous wavelet transform and principal component analysis were carried out. The SNR of the characteristic image was analyzed. The experimental results demonstrated that ICA algorithm can improve the detection SNR significantly. Therefore, the research on ICA-PT is of significant importance to quantitative evaluation the quality of the high silicon oxygen phenolic resin sheet.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available