Search Results - "Pham Luu Trung, Duong"
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Sparse Bayesian learning for data driven polynomial chaos expansion with application to chemical processes
Published in Chemical engineering research & design (01-09-2018)“…[Display omitted] •Uncertainty quantification is studied for processes with small/moderate number of uncertainties.•A data driven polynomial chaos approach…”
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Uncertainty quantification and global sensitivity analysis of complex chemical processes with a large number of input parameters using compressive polynomial chaos
Published in Chemical engineering research & design (01-11-2016)“…[Display omitted] •A compressive gPC approach for uncertainty quantification of complex processes.•The proposed method was compared with the conventional…”
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3
Heuristic Kalman optimized particle filter for remaining useful life prediction of lithium-ion battery
Published in Microelectronics and reliability (01-02-2018)“…Accurate prediction of the remaining useful life of a faulty component is important to the prognosis and health management of any engineering system. In recent…”
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Stochastic analysis of dead-time systems using a hybrid spectral method
Published in International journal of control, automation, and systems (01-10-2015)“…Control systems often operate in the presence of dead-time. However, in most works, these dead-time systems are studied in a deterministic manner, which have…”
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Measuring the effect on chemical processes due to uncertain input states: Uncertainty-cum-sensitivity analysis using a gPC approach
Published in Computer Aided Chemical Engineering (01-01-2017)“…In this study, uncertainty quantification (UQ) of a surrogate model of the complex chemical process was carried out using generalized polynomial chaos…”
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Book Chapter -
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Uncertainty quantification and global sensitivity analysis of complex chemical process using a generalized polynomial chaos approach
Published in Computers & chemical engineering (12-07-2016)“…[Display omitted] •A gPC based approach was applied to uncertainty quantification of complex chemical processes.•The proposed gPC method was compared with the…”
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Dual mixed refrigerant LNG process: Uncertainty quantification and dimensional reduction sensitivity analysis
Published in Applied energy (15-09-2019)“…[Display omitted] •Uncertainty quantification and sensitivity analysis for LNG process.•Standard Monte Carlo (MC) method is utilized.•Relative percentage of…”
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Application of multi-output Gaussian process regression for remaining useful life prediction of light emitting diodes
Published in Microelectronics and reliability (01-09-2018)“…Light-emitting diodes (LEDs) are the preferred technology today when it comes to lighting both for indoor and outdoor applications, predominantly due to their…”
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9
Knowledge-inspired operational reliability for optimal LNG production at the offshore site
Published in Applied thermal engineering (05-03-2019)“…[Display omitted] •Reliability of the SMR liquefaction process is effectively measured.•A gPC based surrogate modeling approach is applied for uncertainty…”
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Global Sensitivity Analysis and Uncertainty Quantification of Crude Distillation Unit Using Surrogate Model Based on Gaussian Process Regression
Published in Industrial & engineering chemistry research (11-04-2018)“…This study presents a global sensitivity analysis to simplify a surrogate-model-based uncertainty quantification of a crude distillation unit with a large…”
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11
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression
Published in Journal of intelligent manufacturing (2023)“…A multi-physics high-fidelity computational model is required to study the melting and grain growth phenomena in a laser powder-bed fusion (LPBF) additive…”
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Reliability analysis and design of a single diode solar cell model using polynomial chaos and active subspace
Published in Microelectronics and reliability (01-09-2019)“…In recent times, photovoltaic power systems are being used worldwide with a high rate of adoption as a source of clean energy. It is therefore important to…”
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13
Deterministic analysis of distributed order systems using operational matrix
Published in Applied mathematical modelling (01-02-2016)“…•Novel approach using operation matrix for deterministic analysis of linear distributed order systems.•Reduce different analysis problems by using block pulse…”
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14
Measuring the reliability of a natural gas refrigeration plant: Uncertainty propagation and quantification with polynomial chaos expansion based sensitivity analysis
Published in Reliability engineering & system safety (01-04-2018)“…•Uncertainty quantification was performed to measure the reliability of natural gas liquefaction process.•Surrogate model using polynomial chaos expansion…”
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15
Robust PID controller design for processes with stochastic parametric uncertainties
Published in Journal of process control (01-10-2012)“…► This work proposes a robust PID design for process with stochastic parametric uncertainty. ► Proposed method is based on polynomial chaos for handling…”
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16
Application of expectation maximization and Kalman smoothing for prognosis of lumen maintenance life for light emitting diodes
Published in Microelectronics and reliability (01-08-2018)“…Light emitting diodes (LED) have found widespread use for lighting and displays in recent times due to their high efficiency, favorable form factor, impact…”
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17
Global Optimization of Surface Warpage for Inverse Design of Ultra-Thin Electronic Packages Using Tensor Train Decomposition
Published in IEEE access (2022)“…As laptops get thinner and thinner, the electronic packages that go into these devices must shrink along the <inline-formula> <tex-math notation="LaTeX">z…”
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Gaussian process regression approach for robust design and yield enhancement of self-assembled nanostructures
Published in Microelectronics and reliability (01-09-2018)“…Self-assembled nanostructures are increasingly used for nanoelectronic and optoelectronic applications due to their high surface area to volume ratio and their…”
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Learning Localized Spatial Material Properties of Substrates in Ultra-Thin Packages Using Markov Chain Monte Carlo and Finite Element Analysis
Published in IEEE access (2020)“…Thinned silicon dies and thin substrates using thin core and coreless structures have enabled thin packages. For robust manufacturing and reliability of these…”
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Probabilistic analysis and control of systems with uncertain parameters over non-hypercube domain
Published in Journal of process control (01-04-2014)“…•A robust controller design method is developed to cope with uncertainties of non-hypercube type.•Non-hypercube domains are transformed to hyper-cube ones by a…”
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Journal Article