In today’s factories, 14 million hours of unplanned downtime happen due to system failures in the U.S. alone, resulting in the loss of billions of dollars. In order to prevent such events, factories typically employ an expensive route-based approach where an expert gathers data to assess the health of the equipment or utilize a range of suboptimal sensing solutions that do not reliably detect all potential failures that could occur in these systems.
View the full version of 'Increase Productivity with Software Driven, Secure Predictive Maintenance for Electric Motors,' on the Analog.com website.
