How quickly is predictive maintenance becoming the norm?
Research from EASA and Plant Engineering indicates willingness to use industrial Internet of things technologies for predictive and prescriptive maintenance practices.
But how quickly is willingness turning into best practices? More than 75% of survey respondents say their companies will be executing condition-based monitoring in the next several years.
Low-cost sensing makes it feasible to condition-monitor not just high-priced machines and equipment, but also plant sub-structures like steam traps and vents. Connected assets and rich data do more than give a hint of an impending failure. It’s a way to better understand how a process works.
Predictive modeling identifies past patterns to make future predictions. Preventive and corrective services lead to reliability-centered maintenance. This webcast will focus on how better sensing leads to big data, while analytics lead to a better plant performance and improved productivity.