Mayorkinos Papaelias
Mayorkinos Papaelias
Professor in NDT and Condition Monitoring, The University of Birmingham
Verified email at - Homepage
Cited by
Cited by
Condition monitoring of wind turbines: Techniques and methods
FPG Márquez, AM Tobias, JMP Pérez, M Papaelias
Renewable energy 46, 169-178, 2012
A review on non-destructive evaluation of rails: State-of-the-art and future development
M Ph Papaelias, C Roberts, CL Davis
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2008
Wind turbine reliability analysis
JMP Pérez, FPG Márquez, A Tobias, M Papaelias
Renewable and Sustainable Energy Reviews 23, 463-472, 2013
Identification of critical components of wind turbines using FTA over the time
FPG Márquez, JMP Pérez, AP Marugán, M Papaelias
Renewable Energy 87, 869-883, 2016
High-speed inspection of rails using ACFM techniques
MP Papaelias, MC Lugg, C Roberts, CL Davis
Ndt & E International 42 (4), 328-335, 2009
Inspection and structural health monitoring techniques for concentrated solar power plants
M Papaelias, L Cheng, M Kogia, A Mohimi, V Kappatos, C Selcuk, ...
Renewable Energy 85, 1178-1191, 2016
Fault detection and diagnosis within a wind turbine mechanical braking system using condition monitoring
M Entezami, S Hillmansen, P Weston, MP Papaelias
Renewable energy 47, 175-182, 2012
Renewable energies: Business outlook 2050
FPG Márquez, A Karyotakis, M Papaelias
Springer, 2018
Optimal dynamic analysis of electrical/electronic components in wind turbines
FP Garcia Marquez, A Pliego Marugan, JM Pinar Pérez, S Hillmansen, ...
Energies 10 (8), 1111, 2017
Onboard detection of railway axle bearing defects using envelope analysis of high frequency acoustic emission signals
A Amini, M Entezami, M Papaelias
Case Studies in Nondestructive Testing and Evaluation 6, 8-16, 2016
Autonomous underwater vehicles: Instrumentation and measurements
PJB Sánchez, M Papaelias, FPG Márquez
IEEE Instrumentation & Measurement Magazine 23 (2), 105-114, 2020
Automated defect classification of Aluminium 5083 TIG welding using HDR camera and neural networks
D Bacioiu, G Melton, M Papaelias, R Shaw
Journal of manufacturing processes 45, 603-613, 2019
Online condition monitoring of rolling stock wheels and axle bearings
M Papaelias, A Amini, Z Huang, P Vallely, DC Dias, S Kerkyras
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2016
Cracks and welds detection approach in solar receiver tubes employing electromagnetic acoustic transducers
CQ Gómez Muñoz, A Arcos Jiménez, FP García Márquez, M Kogia, ...
Structural Health Monitoring 17 (5), 1046-1055, 2018
Automated defect classification of SS304 TIG welding process using visible spectrum camera and machine learning
D Bacioiu, G Melton, M Papaelias, R Shaw
NDT & E International 107, 102139, 2019
Railroad inspection based on ACFM employing a non-uniform B-spline approach
JMC Muñoz, FPG Márquez, M Papaelias
Mechanical Systems and Signal Processing 40 (2), 605-617, 2013
Wayside detection of faults in railway axle bearings using time spectral kurtosis analysis on high-frequency acoustic emission signals
A Amini, M Entezami, Z Huang, H Rowshandel, M Papaelias
Advances in Mechanical Engineering 8 (11), 1687814016676000, 2016
ENDURUNS: An integrated and flexible approach for seabed survey through autonomous mobile vehicles
S Marini, N Gjeci, S Govindaraj, A But, B Sportich, E Ottaviani, ...
Journal of Marine Science and Engineering 8 (9), 633, 2020
Structural health monitoring of grouted connections for offshore wind turbines by means of acoustic emission: An experimental study
NI Tziavos, H Hemida, S Dirar, M Papaelias, N Metje, C Baniotopoulos
Renewable energy 147, 130-140, 2020
Review on additive manufacturing and non-destructive testing
IS Ramírez, FPG Márquez, M Papaelias
Journal of Manufacturing Systems 66, 260-286, 2023
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