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Cory Hogan

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Simulation and Digital Twins: A System-Based Approach to Predictive Maintenance

January 6, 2026 | Filed under: Autonomous Inspection, Measurement Systems

by Jeff Tuzik Rail transit systems collect a lot of data. This is data collected from many sources—wheels, rail, track, and vehicles—and from many types of measurement devices. Some of the data must be collected per regulatory requirements, but much of it is collected because it’s valuable. Transit systems use …

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Using Digital Twin Simulations of Automated In-Train & Vehicle/Track Dynamics to Reduce Derailment Risks

August 10, 2024 | Filed under: Big Data, Derailment, Vehicle/Track

Cory Hogan, Director of Vehicle Dynamics at Ensco Rail, highlights the use of digital twins in predicting rail system issues before they occur. Ensco employs advanced simulations and data collection to model vehicle dynamics, enhance safety, and streamline railroad operations, aiming to develop increasingly sophisticated and accurate digital twins for rail networks.

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Related Articles

  • Simulation and Digital Twins: A System-Based Approach to Predictive Maintenance
    In relation to
    Autonomous Inspection
  • Modelling Success and Predicting Failure at the Wheel/Rail Interface
    In relation to
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  • Examining the Role of Wheel/Rail Interaction in a Unit Train Derailment
    In relation to
    Derailment
  • Gary Wolf is the recipient of Wheel Rail Seminars’ 2023 Worth Award
    In relation to
    WRI Conference
  • Designing Amtrak’s Wayside Train/Track Interaction Detection System
    In relation to
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