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Updated: Jul 11, 2025

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
Published on: May 15, 2017
Progress in Active Infrared Imaging for Defect Detection in the Renewable and Electronic Industries
Xinfeng Zhao1, Yangjing Zhao2, Shunchang Hu2,3
1College of Water Conservancy Engineering, Yellow River Conservancy Technical Institute, Kaifeng 475000, China.
Infrared thermographic (IRT) technology offers advanced, non-contact defect detection for industries like renewable energy and electronics. Its integration with AI enhances accuracy in identifying faults in photovoltaic panels and circuit boards.
Area of Science:
- Materials Science
- Non-Destructive Testing
- Thermal Imaging
Background:
- Infrared thermographic (IRT) technology has advanced significantly, enabling non-contact, high-resolution defect detection.
- Applications span diverse sectors including renewable energy, electronics, construction, aviation, and healthcare.
- IRT enhances product quality and reliability through efficient defect identification.
Purpose of the Study:
- To provide an overview of active IRT principles and methodologies.
- To review IRT applications in the photovoltaic (PV) and electronics industries.
- To analyze the advantages, challenges, and future directions of IRT, particularly with AI integration.
Main Methods:
- Categorization of active IRT based on heat sources: pulsed thermography (PT), lock-in thermography (LT), ultrasonically stimulated vibration thermography (UVT), and eddy current thermography (ECT).
- Exploration of IRT imaging for defect detection in PV panels and electronic circuit boards.
- Discussion of algorithmic detection, excitation sources, and infrared wavelengths used in inspections.
Main Results:
- IRT, especially when combined with deep learning, offers efficient and accurate defect detection in PV panels for system monitoring.
- IRT is crucial for assessing thermal performance and identifying defects in electronic components during development and manufacturing.
- Analysis highlights the benefits and limitations of various excitation sources and IRT's role in AI-driven inspections.
Conclusions:
- IRT technology, particularly active methods and AI integration, is vital for quality control and maintenance in the PV and electronics sectors.
- Further research is needed to address challenges related to excitation sources, specific industry applications, and AI advancements.
- Optimizing IRT techniques and algorithms will enhance its utility in ensuring the reliability of critical infrastructure and products.
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