Food and beverage processing facilities typically have quite a bit of complex machinery. Keeping everything running reliably is a challenge for these producers. A September 24, 11am EDT webinar hosted by Food Engineering magazine will explore predictive maintenance technologies to drive greater reliability.
How do you identify the best predictive maintenance solutions for your organization? With a wide variety of technologies available and complex operational issues to solve, it can be difficult to choose. To gain some clarity, Emerson experts will discuss and demonstrate multiple data-driven technologies so you can explore which blend of solutions will work best for your operations.
In this webinar, you will learn about edge health monitoring, advanced analytics including machine learning, augmented reality and virtual collaboration. By exploring your various options, you can reap the benefits of big data and prevent failures before they cause catastrophic results.
These Emerson experts will help you to:
- Identify wide-ranging benefits of edge machine health monitoring including equipment monitoring either through the cloud or on the plant floor.
- Understand the potential of augmented reality in operator training, virtual collaboration and improving uptime.
- Explain how to predict failure in real-time using advanced analytics tools like machine learning and root cause analysis to detect abnormal behavior of processes and assets.
- Recognize how virtual collaboration tools can rapidly diagnose breakdowns and underperforming assets while allowing operators and experts to stay connected from anywhere, anytime.
If you’re unable to join the live webinar, it will be recorded so that you can view it later on-demand. Register now to join Erik, Vibhoosh, Stephen and Jorge to learn more about ways to drive improvements in overall operational reliability. Visit the Food & Beverage section on Emerson.com for more on the technologies and solutions to improve overall project and operational performance.