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Article
Parametric Study of Anomaly Detection Models for Defect Detection in Infrared Thermography
In the current NDT 4.0 revolution, machine learning and artificial intelligence have emerged as the major enablers for non-destructive testing and evaluation (NDT&E) of industrial components. However, recent d...
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Article
Compressive Thermal Wave Imaging for Subsurface Analysis
Subsurface detail extraction in active thermography demands high capturing rates, resulting in less exposure time, data redundancy, large bandwidth requirement, and wastage of sensing resources and memory. Com...
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Article
Time-Frequency Based Thermal Imaging: An Effective Tool for Quantitative Analysis
Recent achievements in TWDAR (thermal wave detection and ranging) technology has made it possible to utilize a range of thermal imaging techniques for analyzing the characteristics of materials used in various...
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Article
Feature Recognition in Quadratic Frequency Modulated Thermal Wave Imaging for Subsurface Defect Detection in Fiber-Reinforced Polymers
Efficient processing and stimulation mechanisms facilitating subsurface feature analysis are of prime concern in composite inspection. Being capable of presenting depth resolution and depth scanning with frequ...
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Article
Thermal Wave Mode Decomposition for Defect Detection in Non-Stationary Thermal Wave Imaging
The past two decades witnessed the evolution of non-stationary thermal wave imaging (NSTWI) techniques for active infrared non-destructive testing of various industrial components. The non-stationary temporal ...
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Article
Non-Stationary Thermal Wave Mode Decomposition: A Comparative Study of EMD, HVD, and VMD for Defect Detection
Frequency coded non-stationary thermal wave imaging (NSTWI) has been evolved as viable active infrared non-destructive testing technique for inspecting various industrial components. The non-stationary tempora...
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Article
Convolution Neural Networks Based Automatic Subsurface Anomaly Detection and Characterization in Quadratic Frequency Modulated Thermal Wave Imaging
Recent trends in thermal non-destructive testing focusing on artificial intelligence and various deep learning architectures have been investigated for quality assessment of different materials. The present wo...
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Chapter and Conference Paper
Proximity: An Automatic Approach for Defect Detection and Depth Estimation in Infrared Non-destructive Testing
Non-destructive testing (NDT) is a technique used to assess the integrity and reliability of industrial components without impairing their future functionalities. Thermal non-destructive testing (TNDT) is an e...
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Article
Enhanced Subsurface Analysis Using Proper Orthogonal Decomposition in Nonstationary Thermal Wave Imaging
Active infrared thermography (AT) has been evolved as a prominent nondestructive testing technique for in-situ monitoring of defect-free composite material manufacturing. The recent past witnessed the growth o...
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Article
Chirp Z Transform Based Barker Coded Thermal Wave Imaging for the Characterization of Fiber Reinforced Polymers
The phase-based post processing approaches gives better defect detection in non stationary thermal wave imaging for subsurface analysis of materials in various applications. But the limited frequency resolutio...
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Article
A Time Frequency-Based Approach for Defect Detection in Composites Using Nonstationary Thermal Wave Imaging
Characterization of various industrial components without impairing their future utility increases the necessity of nondestructive testing (NDT) techniques. In recent years, active thermography catches the res...
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Article
Deep and Handcrafted Feature Fusion for Automatic Defect Detection in Quadratic Frequency Modulated Thermal Wave Imaging
Recent advancements of nondestructive testing and evaluation (NDT&E) with machine learning, artificial intelligence, and the internet of things as key enablers in parallel with industry 4.0 reached the fourth ...
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Chapter and Conference Paper
A Thermographic System for Quantitative and Automated Subsurface Detail Visualization
Subsurface analysis with increased reliability fascinated the post processing research in infrared imaging and non-destructive testing. This paper proposes the artificial neural network (ANN)-based post proces...
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Chapter and Conference Paper
Proper Orthogonal Decomposition-Based Coating Thickness Estimation in Quadratic Frequency Modulated Thermal Wave Imaging
Thermal barrier coatings for the objects operating at elevated temperatures require proper non-contact condition monitoring to avoid catastrophic failures. Thermal wave imaging is evolving as a reliable testin...
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Chapter and Conference Paper
Deep Learning in Quadratic Frequency Modulated Thermal Wave Imaging for Automatic Defect Detection
Machine learning and artificial intelligence became a revolutionary trend in various non-destructive testing (NDT) techniques. Among various NDT techniques, infrared thermography with quadratic frequency modul...
