Sri Naga Pavan Addepalli

Lecturer in Degradation Assessment

Cranfield University

United Kingdom

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Sri Naga Pavan Addepalli is a Lecturer in Degradation Assessment at Cranfield University, UK. His research areas include machine learning applications in non-destructive testing, thermal material property evaluation, and digital twins for maintenance management. Recent articles authored by him explore systematic reviews and methodologies related to thermography, deep learning for defect detection, and knowledge extraction in degradation analysis.

Articles (14)

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2025

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2025

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2024

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2023

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2023

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2022

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2021

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2021

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2020

Collaborators (5)

John Ahmet Erkoyuncu

Cranfield University

UNITED KINGDOM

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Rajkumar Roy

University College London

UNITED KINGDOM

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Yifan Zhao

Cranfield University

UNITED KINGDOM

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Maryam Farsi

Lecturer

Cranfield University

UNITED KINGDOM

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Tillman Weyde

Senior Lecturer

City, University of London

UNITED KINGDOM

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Sri Naga Pavan Addepalli

Research Interests

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Articles (14)

Machine Learning in Thermography Non-Destructive Testing: A Systematic Review

Effective Thermal Diffusivity Measurement Using Through-Transmission Pulsed Thermography: Extending the Current Practice by Incorporating Multi-Parameter Optimisation

Thermal Material Property Evaluation Using through Transmission Thermography: A Systematic Review of the Current State-of-the-Art

Knowledge transfer in Digital Twins: The methodology to develop Cognitive Digital Twins

Industrial Insights on Digital Twins in Manufacturing: Application Landscape, Current Practices, and Future Needs

Compound Uncertainty Quantification and Aggregation for Reliability Assessment in Industrial Maintenance

A Deep-Learning-Based Approach for Aircraft Engine Defect Detection

Automation of knowledge extraction for degradation analysis

Classification of barely visible impact damage in composite laminates using deep learning and pulsed thermographic inspection

Pattern Recognition of Barely Visible Impact Damage in Carbon Composites Using Pulsed Thermography

Cognitive digital twin: An approach to improve the maintenance management

Quantifying Uncertainty in Pulsed Thermographic Inspection by Analysing the Thermal Diffusivity Measurements of Metals and Composites

A Miniaturized Active Thermography System to Inspect Composite Laminates

The Spatial Resolution Enhancement for a Thermogram Enabled by Controlled Subpixel Movements

Collaborators (5)

John Ahmet Erkoyuncu

Rajkumar Roy

Yifan Zhao

Maryam Farsi

Tillman Weyde

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