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Pavan Addepalli
Pavan Addepalli
Lecturer in Degradation Assessment, Cranfield University
Verifisert e-postadresse på cranfield.ac.uk - Startside
Tittel
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Sitert av
År
Remaining useful life prediction using deep learning approaches: A review
Y Wang, Y Zhao, S Addepalli
Procedia manufacturing 49, 81-88, 2020
2092020
Cognitive digital twin: An approach to improve the maintenance management
RD D’Amico, JA Erkoyuncu, S Addepalli, S Penver
CIRP Journal of Manufacturing Science and Technology 38, 613-630, 2022
732022
Socio-economic and demographic factors that contribute to the growth of the civil aviation industry
S Addepalli, G Pagalday, K Salonitis, R Roy
Procedia Manufacturing 19, 2-9, 2018
632018
Degradation study of heat exchangers
S Addepalli, D Eiroa, S Lieotrakool, AL François, J Guisset, D Sanjaime, ...
Procedia Cirp 38, 137-142, 2015
522015
Conceptual framework of a digital twin to evaluate the degradation status of complex engineering systems
D D’Amico, J Ekoyuncu, S Addepalli, C Smith, E Keedwell, J Sibson, ...
Procedia CIRP 86, 61-67, 2019
472019
Non-destructive evaluation of localised heat damage occurring in carbon composites using thermography and thermal diffusivity measurement
S Addepalli, Y Zhao, R Roy, W Galhenege, M Colle, J Yu, A Ucur
Measurement 131, 706-713, 2019
432019
A review of miniaturised Non-Destructive Testing technologies for in-situ inspections
W Du, Y Zhao, R Roy, S Addepalli, L Tinsley
Procedia Manufacturing 16, 16-23, 2018
342018
A confidence map based damage assessment approach using pulsed thermographic inspection
Y Zhao, S Addepalli, A Sirikham, R Roy
NDT & E International 93, 86-97, 2018
302018
A coefficient clustering analysis for damage assessment of composites based on pulsed thermographic inspection
Y Zhao, L Tinsley, S Addepalli, J Mehnen, R Roy
NDT & E International 83, 59-67, 2016
262016
Mechanical performance of composite bonded joints in the presence of localised process-induced zero-thickness defects
HY Nezhad, D Stratakis, D Ayre, S Addepalli, Y Zhao
Procedia Manufacturing 16, 91-98, 2018
252018
The spatial resolution enhancement for a thermogram enabled by controlled subpixel movements
W Du, S Addepalli, Y Zhao
IEEE Transactions on Instrumentation and Measurement 69 (6), 3566-3575, 2019
182019
A deep-learning-based approach for aircraft engine defect detection
A Upadhyay, J Li, S King, S Addepalli
Machines 11 (2), 192, 2023
172023
Global motion based video super-resolution reconstruction using discrete wavelet transform
W Witwit, Y Zhao, K Jenkins, S Addepalli
Multimedia Tools and Applications 77, 27641-27660, 2018
152018
Practical options for adopting recurrent neural network and its variants on remaining useful life prediction
Y Wang, Y Zhao, S Addepalli
Chinese Journal of Mechanical Engineering 34, 1-20, 2021
142021
Assessment of an emerging aerospace manufacturing cluster and its dependence on the mature global clusters
J Luna, S Addepalli, K Salonitis, H Makatsoris
Procedia Manufacturing 19, 26-33, 2018
132018
Industrial insights on digital twins in manufacturing: Application landscape, current practices, and future needs
RD D’Amico, S Addepalli, JA Erkoyuncu
Big Data and Cognitive Computing 7 (3), 126, 2023
122023
Pattern recognition of barely visible impact damage in carbon composites using pulsed thermography
J Zhou, W Du, L Yang, K Deng, S Addepalli, Y Zhao
IEEE Transactions on Industrial Informatics 18 (10), 7252-7261, 2021
122021
‘In-situ’inspection technologies: Trends in degradation assessment and associated technologies
S Addepalli, R Roy, D Axinte, J Mehnen
Procedia CIRP 59, 35-40, 2017
122017
Classification of barely visible impact damage in composite laminates using deep learning and pulsed thermographic inspection
K Deng, H Liu, L Yang, S Addepalli, Y Zhao
Neural Computing and Applications 35 (15), 11207-11221, 2023
102023
Service knowledge capture and reuse
R Roy, J Mehnen, S Addepalli, L Redding, L Tinsley, C Okoh
Procedia CIRP 16, 9-14, 2014
102014
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Artikler 1–20