The present and future of additive manufacturing in the aerospace sector: A review of important aspects A Uriondo, M Esperon-Miguez, S Perinpanayagam Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2015 | 573 | 2015 |
A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery A Cubillo, S Perinpanayagam, M Esperon-Miguez Advances in Mechanical Engineering 8 (8), 1687814016664660, 2016 | 239 | 2016 |
A qualification procedure to manufacture and repair aerospace parts with electron beam melting L Portolés, O Jordá, L Jordá, A Uriondo, M Esperon-Miguez, ... Journal of Manufacturing Systems 41, 65-75, 2016 | 124 | 2016 |
Digital twin in aerospace industry: A gentle introduction L Li, S Aslam, A Wileman, S Perinpanayagam IEEE Access 10, 9543-9562, 2021 | 98 | 2021 |
Computationally efficient, real-time, and embeddable prognostic techniques for power electronics A Alghassi, S Perinpanayagam, M Samie, T Sreenuch IEEE Transactions on Power Electronics 30 (5), 2623-2634, 2014 | 73 | 2014 |
Stochastic RUL calculation enhanced with TDNN-based IGBT failure modeling A Alghassi, S Perinpanayagam, M Samie IEEE Transactions on Reliability 65 (2), 558-573, 2015 | 66 | 2015 |
A brief overview of SiC MOSFET failure modes and design reliability BJ Nel, S Perinpanayagam Procedia CIRP 59, 280-285, 2017 | 64 | 2017 |
Unbalance localization through machine nonlinearities using an artificial neural network approach RB Walker, R Vayanat, S Perinpanayagam, IK Jennions Mechanism and Machine Theory 75, 54-66, 2014 | 57 | 2014 |
Rotordynamic faults: recent advances in diagnosis and prognosis R Walker, S Perinpanayagam, IK Jennions International Journal of Rotating Machinery 2013, 2013 | 55 | 2013 |
A novel intermittent fault detection algorithm and health monitoring for electronic interconnections WA Syed, S Perinpanayagam, M Samie, I Jennions IEEE Transactions on Components, Packaging and Manufacturing Technology 6 (3 …, 2016 | 48 | 2016 |
A road map for reliable power electronics for more electric aircraft AJ Wileman, S Aslam, S Perinpanayagam Progress in Aerospace Sciences 127, 100739, 2021 | 41 | 2021 |
Probabilistic Monte-Carlo method for modelling and prediction of electronics component life T Sreenuch, A Alghassi, S Perinpanayagam, Y Xie International Journal of Advanced Computer Science and Applications 5 (1), 2014 | 33 | 2014 |
Developing prognostic models using duality principles for DC-to-DC converters M Samie, S Perinpanayagam, A Alghassi, AMS Motlagh, E Kapetanios IEEE Transactions on Power Electronics 30 (5), 2872-2884, 2014 | 30 | 2014 |
Aging detection capability for switch-mode power converters JK Mann, S Perinpanayagam, I Jennions IEEE Transactions on Industrial Electronics 63 (5), 3216-3227, 2016 | 27 | 2016 |
Study on intermittent faults and electrical continuity WS Ahmad, S Perinpanayagam, I Jennions, S Khan Procedia Cirp 22, 71-75, 2014 | 24 | 2014 |
Non-linearities in an aero-engine structure: from test to design S Perinpanayagam, D Robb, DJ Ewins, JM Barragan Proceedings of the 2005 International Conference on Modal Analysis, Noise …, 2004 | 24 | 2004 |
Enhanced prognostic model for lithium ion batteries based on particle filter state transition model modification B Arachchige, S Perinpanayagam, R Jaras Applied Sciences 7 (11), 1172, 2017 | 23 | 2017 |
Physics of failure (PoF) based lifetime prediction of power electronics at the printed circuit board level A Wileman, S Perinpanayagam, S Aslam Applied Sciences 11 (6), 2679, 2021 | 19 | 2021 |
Failure mechanisms of radar and RF systems AJ Wileman, S Perinpanayagam Procedia CIRP 11, 56-61, 2013 | 14 | 2013 |
Qualitative validation approach using digital model for the health management of electromechanical actuators P Garza, S Perinpanayagam, S Aslam, A Wileman Applied Sciences 10 (21), 7809, 2020 | 13 | 2020 |