Predictive Maintenance (PdM), also referred to as Condition-based Maintenance (CBM), consists of set of techniques designed to help determine the condition of machines / assets during their operations and detect any abnormal behaviours that can lead to potential failures. The goal is to prevent the failures from happening, but at the same time reduce the number of inspections required.
A well designed predictive maintenance strategy can save anywhere between 30 to 80% of traditional maintenance costs by reducing the inspection intervals, optimizing the spare parts inventory, eliminating unplanned breakdowns, increasing the productivity with no-last-minute work labour schedules, so on.
Who should take this course
All owners of RelComp software
Data scientists who are looking for gaining practical insight and first-hand industry problem-solving experience on Condition-based Maintenance
Plant managers who are looking for ways of optimizing their maintenance operations
CxO executives who are interested in learning new ways of taking advantage of latest trends in Big-data and M2M Predictive analytics technologies for their organizations.