Rotating machines are ubiquitous across all industrial sectors and they usually need to remain operational for an extended period and in harsh environments, which causes degradation and can eventually lead to failures in components.
Bearings are one the most critical components in rotating machines. Bearing failures result in unplanned downtime and thus impact production and maintenance costs. To reduce costs, monitoring the condition of bearings, therefore, plays a vital role in the maintenance programs of all rotating machinery.
AI could help to move from a traditional time-based preventive maintenance program to a condition-based maintenance or predictive maintenance strategy.
