P
Pham Luu Trung Duong
Researcher at Singapore University of Technology and Design
Publications - 54
Citations - 424
Pham Luu Trung Duong is an academic researcher from Singapore University of Technology and Design. The author has contributed to research in topics: Polynomial chaos & Monte Carlo method. The author has an hindex of 9, co-authored 51 publications receiving 277 citations. Previous affiliations of Pham Luu Trung Duong include Yeungnam University & University of Luxembourg.
Papers
More filters
Journal ArticleDOI
Heuristic Kalman optimized particle filter for remaining useful life prediction of lithium-ion battery
TL;DR: This study introduces the Heuristic Kalman algorithm, a metaheuristic optimization approach, in combination with particle filtering to tackle sample degeneracy and impoverishment in particle filtering.
Journal ArticleDOI
Data-Driven Design Space Exploration and Exploitation for Design for Additive Manufacturing
Yi Xiong,Pham Luu Trung Duong,Dong Wang,Sang-In Park,Qi Ge,Nagarajan Raghavan,David W. Rosen,David W. Rosen +7 more
TL;DR: A holistic approach that applies data-driven methods in design search and optimization at successive stages of a design process is proposed and is demonstrated in the design of a customized ankle brace that has a tunable mechanical performance by using a highly stretchable design concept with tailored stiffnesses.
Journal ArticleDOI
Uncertainty quantification and global sensitivity analysis of complex chemical process using a generalized polynomial chaos approach
TL;DR: The gPC method reduces computational effort for uncertainty quantification of complex chemical processes with an acceptable accuracy and Sobol’s sensitivity indices to identify influential random inputs can be obtained directly from the surrogated gPC model, which in turn further reduces the required simulations remarkably.
Journal ArticleDOI
Dual mixed refrigerant LNG process: Uncertainty quantification and dimensional reduction sensitivity analysis
TL;DR: In this article, the authors investigated the uncertainty levels in the overall energy consumption and minimum internal temperature approach (MITA) inside LNG heat exchangers with variations in the operational variables of the DMR processes.
Journal ArticleDOI
Robust PID controller design for processes with stochastic parametric uncertainties
TL;DR: This work proposes a new method of robust PID controller design based on polynomial chaos for processes with stochastic parametric uncertainties that can greatly reduce computation time and can also efficiently handle both nominal and robust performance against Stochastic uncertainties by solving a simple optimization problem.