activity
20232026
most citedStochastic Soiling Loss Models for Heliostats in Concentrating Solar Power Plants

22 citations · 41 across the 8 of their papers we have counts for

collaborators

9 papers

eess.SY2026

Two-stage monitoring design and budgeted condition-based maintenance for LED lighting systems: a gamma-process-based ensemble Kalman filter approach

Haohao Shi, Huy Truong-Ba, Michael E. Cholette +3

Light-emitting diode (LED) luminaires degrade gradually during operation, reducing working plane (WP) illuminance and increasing the risk of inadequate indoor lighting. Because ind…

stat.AP2026★ 1 cited

Coating Breakdown Prediction for Ships and Inspection Planning

Huy Truong-Ba, Michael E. Cholette, Geoffrey Will +1

Marine corrosion significantly reduces a ship's availability, increases costs of operation and could impact safety. Protective coatings mitigate these risks, but their effectivenes…

eess.SY2026

Gamma Process Degradation Modeling and Performance-Driven Opportunistic Maintenance Optimization for LED Lighting Systems

Haohao Shi, Huy Truong-Ba, Michael E. Cholette +3

LED lighting systems consist of multiple LED luminaires, each subject to gradual package degradation and abrupt driver failures. Their acceptability is governed by long-term spatio…

eess.SY2025

Sensor Fusion for Track Geometry Monitoring: Integrating On-Board Condition Monitoring and Degradation Models via Kalman Filtering

Huy Truong-Ba, Jacky Chin, Michael E. Cholette +1

Track geometry monitoring is essential for maintaining the safety and efficiency of railway operations. While Track Recording Cars (TRCs) provide accurate measurements of track geo…

eess.SY2024

A Stochastic-MILP dispatch optimization model for Concentrated Solar Thermal under uncertainty

Navid Mohammadzadeh, Huy Truong-Ba, Michael E. Cholette +2

Concentrated Solar Thermal (CST) offers a promising solution for large-scale solar energy utilization as Thermal Energy Storage (TES) enables electricity generation independently o…

eess.SP2023★ 16 cited

Evaluation of onboard sensors for track geometry monitoring against conventional track recording measurements

Hengcheng Zhang, Zhan Yie Chin, Pietro Borghesani +2

The main objective of this paper is to assess the estimation of track condition parameters using onboard micro-electro-mechanical-system (MEMS) accelerometers. A prototype of an on…

stat.AP2023★ 2 cited

Bayesian Multivariate Track Geometry Degradation Modelling and its use in Condition-Based Inspection

Huy Truong-Ba, Sinda Rebello, Michael E. Cholette +2

Effective maintenance of railway infrastructure is crucial for safe and comfortable transportation. Among the various degradation modes, track geometry deformation due to repeated…

physics.soc-ph2023

Heliostat-field soiling predictions and cleaning resource optimization for solar tower plants

Cody B. Anderson, Giovanni Picotti, Michael E. Cholette +3

This paper presents a novel methodology for characterizing soiling losses through experimental measurements. Soiling predictions were obtained by calibrating a soiling model based…

stat.AP2023★ 22 cited

Stochastic Soiling Loss Models for Heliostats in Concentrating Solar Power Plants

Giovanni Picotti, Michael E. Cholette, Cody B. Anderson +2

Reflectance losses on solar mirrors due to soiling are a significant challenge for Concentrating Solar Power (CSP) plants. Soiling losses can vary significantly from site to site -…