2 citations · 3 across the 5 of their papers we have counts for
5 papers
Spatial anomaly detection with optimal transport
Pranay Seshadri, Andrew B. Duncan, George Thorne +1
This manuscript outlines an automated anomaly detection framework for jet engines. It is tailored for identifying spatial anomalies in steady-state temperature measurements at vari…
Bayesian Assessments of Aeroengine Performance with Transfer Learning
Pranay Seshadri, Andrew Duncan, George Thorne +3
Aeroengine performance is determined by temperature and pressure profiles along various axial stations within an engine. Given limited sensor measurements both along and between ax…
Bayesian Mass Averaging in Rigs and Engines
Pranay Seshadri, Andrew Duncan, George Thorne
This paper introduces the Bayesian mass average and details its computation. Owing to the complexity of flow in an engine and the limited instrumentation and the precision of the s…
Spatial Flow-Field Approximation Using Few Thermodynamic Measurements Part I: Formulation and Area Averaging
Pranay Seshadri, Duncan Simpson, George Thorne +2
Our investigation raises an important question that is of relevance to the wider turbomachinery community: how do we estimate the spatial average of a flow quantity given finite (a…
Spatial Flow-Field Approximation Using Few Thermodynamic Measurements Part II: Uncertainty Assessments
Pranay Seshadri, Andrew Duncan, Duncan Simpson +2
In this second part of our two-part paper, we provide a detailed, frequentist framework for propagating uncertainties within our multivariate linear least squares model. This permi…