Green, Peter - University of Liverpool

个人简介

Peter Green read a Masters degree in Mechanical Engineering at the University of Sheffield from (2005-2009). From 2009 to 2012 he undertook a PhD, analysing the response of nonlinear energy harvesters to random excitations (also at the University of Sheffield). Dr. Green was then awarded an EPSRC/University of Sheffield fellowship, during which time his research became focused on the quantification of uncertainties involved in modelling nonlinear dynamical systems. He continued this research working on the EPSRC Programme Grant ‘Engineering Nonlinearity’. In 2015 Dr. Green became a Lecturer in Uncertainty and Engineering at the University of Liverpool and currently conducts research across both the School of Engineering and the Institute for Risk and Uncertainty. Athena SWAN Silver Application Working Group Member

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A machine learning approach to nonlinear modal analysis. Estimating the parameters of dynamical systems from Big Data using Sequential Monte Carlo samplers Fast Bayesian identification of a class of elastic weakly nonlinear systems using backbone curves Sensitivity analysis of an Advanced Gas-cooled Reactor control rodmodel Bayesian and Markov chain Monte Carlo methods for identifying nonlinear systems in the presence of uncertainty Bayesian system identification of a nonlinear dynamical system using a novel variant of Simulated Annealing Bayesian system identification of dynamical systems using highly informative training data Bayesian system identification of dynamical systems using large sets of training data: A MCMC solution Friction estimation in wind turbine blade bearings Probabilistic modelling of a rotational energy harvester. Energy harvesting from human motion and bridge vibrations: An evaluation of current nonlinear energy harvesting solutions On the identification and modelling of friction in a randomly excited energy harvester The benefits of Duffing-type nonlinearities and electrical optimisation of a mono-stable energy harvester under white Gaussian excitations The effect of Duffing-type non-linearities and Coulomb damping on the response of an energy harvester to random excitations