In the era of Industry 4.0, the digital twin has emerged as a new technology that brings together physical and simulated information to deliver greater value from existing resources. When paired the latest in predictive analytics, digital twins can lead to better decision making at each step of the product lifecycle. This webinar will introduce the role of analytics like Uncertainty Quantification for the digital twin.
To further illustrate the relationship between the digital twin and analytics, the webinar will present an electric motor digital twin use case. The use case will walk through how data from physical sensors along with predictive analytic techniques like statistical calibration can improve the accuracy of a digital twin while leading to new insights such as predictive maintenance or health monitoring. SmartUQ software will be used to demonstrate the analytics for the digital twin.
The audience for this webinar includes engineers, managers, and data scientists in both industrial and defense sectors who are involved in simulation, experimental testing, design, and analyses and have interest in learning more about using analytics for the digital twin.
