Predictive maintenance monitors the performance and condition of equipment during normal operation. It allows manufacturers to monitor their machine’s performance and plan maintenance and repairs ahead of time, to reduce the likelihood of failures and production of defected products. Also known as condition-based maintenance, Predictive Maintenance has been utilized in the industrial world since the 1990s but recently was improved by advanced AI-based software.
Data collected by machines is sent back to a control center, where engineers or planning systems can schedule the maintenance it needs, accordingly.
This reduces production interruptions and downtime, allows higher machine utilization, and makes maintenance more efficient, altogether leading to better Overall Equipment Effectiveness (OEE).
Predictive maintenance data also helps businesses to improve their product quality by ensuring machines and tools are being serviced on time.