Serving the Numerical Simulation community since 1989 
Strategies will be explored for developing mathematical models to support condition-based maintenance (CBM) decisions via a practical case study.
Simulation Governance Is Critical for Reliable Condition-Based (Predictive) Maintenance
WEBINAR SUMMARY
This webinar, hosted by ESRD partner Revolution in Simulation, will present a case study in which the goal was the development of a mathematical model for supporting condition-based maintenance (CBM) decisions.
The model was designed for estimating the remaining fatigue service life of high-value mechanical components, given their service history and that specific flaws (such as corrosion defects) have been discovered in them, thus enabling CBM to move damaged component removals from unscheduled to scheduled maintenance action.
WEBINAR HIGHLIGHTS
- Mathematical models have both intuitive, creative components and objective, science-based components. These two components must be in equilibrium.
- What is the difference between finite element modeling and numerical simulation?
- What is the domain of calibration and how to specify it?
- How the outcome of validation experiments should be evaluated and reported?
- Why is the development of mathematical models open-ended? – Why no one can claim to have the last word?
- Why simulation governance is essential for the success of numerical simulation projects?
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