A data-driven maintenance strategy using real-time condition monitoring to detect impending component failures before they cause breakdowns or safety incidents.
Full Definition
Predictive maintenance (PdM) uses sensors, IoT gateways, and cloud analytics to monitor elevator performance continuously: motor current signature analysis, vibration on guide shoes and ropes, door open/close force trends, brake release timing, and motor temperature. Machine learning algorithms detect deviations from baseline signatures that indicate wear, misalignment, or impending failure. Maintenance is then triggered on a condition basis rather than a fixed schedule, eliminating unnecessary servicing and avoiding unplanned outages. Elevator manufacturers including KONE, Otis, Schindler, and ThyssenKrupp offer proprietary PdM platforms (MAX, KONE 24/7 Connected Services, Uptime, MAX). ROI studies show 30–50 % reduction in call-outs.
