23 citations · 23 across the 2 of their papers we have counts for
4 papers
Prior-informed Uncertainty Modelling with Bayesian Polynomial Approximations
Chun Yui Wong, Pranay Seshadri, Andrew B. Duncan +2
Orthogonal polynomial approximations form the foundation to a set of well-established methods for uncertainty quantification known as polynomial chaos. These approximations deliver…
Automatic Borescope Damage Assessments for Gas Turbine Blades via Deep Learning
Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks
To maximise fuel economy, bladed components in aero-engines operate close to material limits. The severe operating environment leads to in-service damage on compressor and turbine…
Extremum Sensitivity Analysis with Polynomial Monte Carlo Filtering
Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks
Global sensitivity analysis is a powerful set of ideas and heuristics for understanding the importance and interplay between uncertain parameters in a computational model. Such a m…
Embedded Ridge Approximations
Chun Yui Wong, Pranay Seshadri, Geoffrey Parks +1
Many quantities of interest (qois) arising from differential-equation-centric models can be resolved into functions of scalar fields. Examples of such qois include the lift over an…