Most grain facilities have a scheduled maintenance strategy that helps keep the system up and running. While this is a good baseline, it’s not necessarily the most cost-effective strategy and doesn’t catch everything. What if you could detect an issue, such as overheating, or determine the health of individual components, such as IGBTs, filters, or capacitors, before they cause downtime? Learn how you prepare for success by moving from preventative to predictive maintenance. In addition to regular maintenance, this means you can evaluate what’s happening in real-time to address issues before your system goes down, taking your facilities’ productivity with it.

Speaker of this education session was Jim Neawedde.