Predictive Maintenance, Part 5: Digital Twin using MATLAB

Predictive maintenance is one of the key application areas of digital twins. This video discusses what a digital twin is, why you would use digital twins, and how you can create them.
- Overcoming Four Common Obstacles to Predictive Maintenance: http://bit.ly/2GoZjyI
- Download Ebook: Introduction to Predictive Maintenance with MATLAB: http://bit.ly/2GQw0TL

A digital twin is an up-to-date representation of a real physical asset in operation. The intended use of the digital twin determines the modeling method that needs to be used to create the digital twin. Modeling methods range from physics-based models to data-driven methods such as machine learning models. You can create such models using:

• Predictive Maintenance Toolbox: http://bit.ly/2GRwZ6h
• Simscape: http://bit.ly/2GRx6ir
• System Identification Toolbox: http://bit.ly/2GVE0TT

By using digital twins, you can predict failures in advance and reduce downtime, better manage spare part inventories, monitor and manage your fleet, do what-if simulations, and optimize operations.