(NCMS: Ann Arbor, MI) -- The National Center for Manufacturing Sciences (NCMS) has published a new technology brief focused on advances in predictive maintenance, also known as condition-based maintenance (CBM+).

Over the past several decades, industries with High-Value Assets (HVAs) have increasingly pivoted from reactive to predictive maintenance to reduce operational costs. Predictive maintenance/CBM+ is maintenance-based on the evidence of need, unlike reactive maintenance—which makes repairs to components after they break—and preventative maintenance, which schedules inspections, repairs, and replacements before parts become damaged. Sensors embedded in critical equipment components monitor the equipment’s condition in near-real time, sometimes even while the asset is in use.

The objective of CBM+ is to accurately detect the current state of mechanical and electrical systems and predict systems’ remaining useful lives. This enables cost-effective maintenance to be conducted before catastrophic failures can happen.

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