Automatic fault detection for laser powder-bed fusion using semi-supervised machine learning IA Okaro, S Jayasinghe, C Sutcliffe, K Black, P Paoletti, PL Green Additive Manufacturing 27, 42-53, 2019 | 207 | 2019 |
The benefits of Duffing-type nonlinearities and electrical optimisation of a mono-stable energy harvester under white Gaussian excitations PL Green, K Worden, K Atallah, ND Sims Journal of sound and vibration 331 (20), 4504-4517, 2012 | 151 | 2012 |
Energy harvesting from human motion and bridge vibrations: An evaluation of current nonlinear energy harvesting solutions PL Green, E Papatheou, ND Sims Journal of Intelligent Material Systems and Structures 24 (12), 1494-1505, 2013 | 135 | 2013 |
Bayesian and Markov chain Monte Carlo methods for identifying nonlinear systems in the presence of uncertainty PL Green, K Worden Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2015 | 114 | 2015 |
Bayesian system identification of a nonlinear dynamical system using a novel variant of simulated annealing PL Green Mechanical Systems and Signal Processing 52, 133-146, 2015 | 91 | 2015 |
A machine learning approach to nonlinear modal analysis K Worden, PL Green Mechanical Systems and Signal Processing 84, 34-53, 2017 | 66 | 2017 |
Bayesian system identification of dynamical systems using highly informative training data PL Green, EJ Cross, K Worden Mechanical systems and signal processing 56, 109-122, 2015 | 58 | 2015 |
On the identification and modelling of friction in a randomly excited energy harvester PL Green, K Worden, ND Sims Journal of Sound and Vibration 332 (19), 4696-4708, 2013 | 51 | 2013 |
Automatic quality assessments of laser powder bed fusion builds from photodiode sensor measurements S Jayasinghe, P Paoletti, C Sutcliffe, J Dardis, N Jones, PL Green Progress in Additive Manufacturing, 1-18, 2022 | 44 | 2022 |
Fast Bayesian identification of a class of elastic weakly nonlinear systems using backbone curves TL Hill, PL Green, A Cammarano, SA Neild Journal of sound and vibration 360, 156-170, 2016 | 41 | 2016 |
Predicting fatigue performance of hot mix asphalt using artificial neural networks TM Ahmed, PL Green, HA Khalid Road Materials and Pavement Design 18 (sup2), 141-154, 2017 | 37 | 2017 |
The effect of Duffing-type non-linearities and Coulomb damping on the response of an energy harvester to random excitations PL Green, K Worden, K Atallah, ND Sims Journal of Intelligent Material Systems and Structures 23 (18), 2039-2054, 2012 | 37 | 2012 |
Estimating the parameters of dynamical systems from Big Data using Sequential Monte Carlo samplers PL Green, S Maskell Mechanical Systems and Signal Processing 93, 379-396, 2017 | 31 | 2017 |
Optimising cargo loading and ship scheduling in tidal areas N Le Carrer, S Ferson, PL Green European Journal of Operational Research 280 (3), 1082-1094, 2020 | 25 | 2020 |
Bayesian system identification of dynamical systems using large sets of training data: A MCMC solution PL Green Probabilistic Engineering Mechanics 42, 54-63, 2015 | 21 | 2015 |
Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels PL Green, LJ Devlin, RE Moore, RJ Jackson, J Li, S Maskell Mechanical Systems and Signal Processing 162, 108028, 2022 | 16 | 2022 |
Modelling friction in a nonlinear dynamic system via Bayesian inference PL Green, K Worden Special Topics in Structural Dynamics, Volume 6: Proceedings of the 31st …, 2013 | 15 | 2013 |
A machine learning approach to nonlinear modal analysis K Worden, PL Green Dynamics of Civil Structures, Volume 4: Proceedings of the 32nd IMAC, A …, 2014 | 14 | 2014 |
Probabilistic modelling of a rotational energy harvester PL Green, M Hendijanizadeh, L Simeone, SJ Elliott Journal of Intelligent Material Systems and Structures 27 (4), 528-536, 2016 | 10 | 2016 |
Energy harvesting from human motion: an evaluation of current nonlinear energy harvesting solutions PL Green, E Papatheou, ND Sims Journal of Physics: Conference Series 382 (1), 012023, 2012 | 9 | 2012 |