This is the first of a four-part video series.
Part 2: Developing AI Predictive Maintenance Models
Part 3: Make the Most of AI During Deployment
Part 4: The Value of Predictive Maintenance
The business of predictive maintenance has changed over the last decade, and companies now are moving to a more sophisticated way of looking at machine uptime, and the value that can be gained from it.
In the latest edition of Machine Design Insights, Phillip Wallner, industry manager for the industrial automation and machinery field at MathWorks, noted that both the companies that build the equipment and the end-users are implementing predictive maintenance to improve update and meet goals such as sustainability and energy management.
One area of change is the increase in the use of sensors. With greater data storage space and better analytics, sensors now are giving operators a much more precise look at machine health.
