most citedCoating Breakdown Prediction for Ships and Inspection Planning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 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.AP20261 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

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.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…

stat.AP2025

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…