Thermography Sensing-Based Non-destructive Testing Methods and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (26 April 2024) | Viewed by 246
Special Issue Editors
Interests: audio and image processing; social signal processing; multi-physics mathematical modeling; non-destructive evaluation
Special Issues, Collections and Topics in MDPI journals
Interests: non-destructive testing and evulation; machine learning; silicon solar cell; 3D printing; in-process monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent sensing; NDT
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Thermography non-destructive testing is an overarching field of research focusing on the physics–mathematical foundations and practical applications of thermography NDT and its multi-excitation, interpretation, system, signal processing and artificial intelligent algorithms that learn, reason and act. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent thermography-based NDT methods and applications. The core of thermography lies in its use of and proposed physic meaning in various thermography NDT, physically guided AI methodologies combined with convex and non-convex optimization of machine learning/deep learning neural networks. The novel developments in these areas specialised to the processing of a variety of modalities include infrastructure, chemical, bio area, multi-physics signals, images, multispectral, and video, among others.
The focus of the Special Issue will be on a broad range of sensors, physic interpretation, signal and artificial intelligent processing involving the introduction and development of new advanced theoretical and practical algorithms.
Potential topics include but are not limited to the following:
- Induction, optical, laser, ultrasound, and flash thermography NDT;
- Multimodality excitation, such as lock in, pulsed, step heating, etc.;
- Physical guided thermography processing and machine learning;
- Different thermography NDT applications;
- Computer vision and 3D reconstruction by multimodal sensor data fusion;
- Fusion of thermography NDT with other NDT methods;
- Non-destructive testing and evaluation and structure health monitoring for material characterization, structural integrity, defect detection and identification, stress and lifecycle assessment.
Prof. Dr. Bin Gao
Prof. Dr. Junyan Liu
Prof. Dr. Yunze He
Guest Editors
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Keywords
- photothermal radiometry
- infrared thermography
- multi-information fusion detection
- physic guided machine learning
- thermal feature extraction
- photothermal heteredyne imaging
- heat conduction
- thermography sensing
