Condition monitoring of wind turbines: Techniques and methods FPG Márquez, AM Tobias, JMP Pérez, M Papaelias Renewable energy 46, 169-178, 2012 | 1157 | 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 | 416 | 2008 |
Wind turbine reliability analysis JMP Pérez, FPG Márquez, A Tobias, M Papaelias Renewable and Sustainable Energy Reviews 23, 463-472, 2013 | 380 | 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 | 154 | 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 | 153 | 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 | 121 | 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 | 97 | 2012 |
Renewable energies: Business outlook 2050 FPG Márquez, A Karyotakis, M Papaelias Springer, 2018 | 84 | 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 | 81 | 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 | 78 | 2016 |
Autonomous underwater vehicles: Instrumentation and measurements PJB Sánchez, M Papaelias, FPG Márquez IEEE Instrumentation & Measurement Magazine 23 (2), 105-114, 2020 | 76 | 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 | 75 | 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 | 74 | 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 | 68 | 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 | 65 | 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 | 63 | 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 | 59 | 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 | 50 | 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 | 50 | 2020 |
Review on additive manufacturing and non-destructive testing IS Ramírez, FPG Márquez, M Papaelias Journal of Manufacturing Systems 66, 260-286, 2023 | 47 | 2023 |