Leveraging Ansys' Simulation-Based Digital Twins to Improve Predictive and Prescriptive Maintenance Outcomes
Predictive and prescriptive maintenance are key promises of the industrial internet of things (IIoT). Simulation-based digital twins are critically important in making this promise a reality by helping companies better analyze machines in real-world operating conditions, allowing them to make informed decisions and improving their performance far above what is possible today.
Combining machine connectivity with engineering simulation in a scalable approach will enable organizations to perform diagnostics and troubleshooting. This solution will help determine the ideal maintenance program based on the characteristics of the individual asset, optimize the performance of their assets and generate insightful data that can be used to improve the next generation of the product. The resulting efficiency and productivity gains will have a dramatic effect on an organization’s bottom line. In this webinar, we will show how Ansys Twin Builder, in combination with popular IIoT platforms, can help our customers to quickly realize the promise of predictive and prescriptive maintenance.