Predictive Maintenance (PdM) is an advanced maintenance approach that uses real-time monitoring, historical data, condition analysis, and intelligent diagnostics to identify equipment deterioration and potential failures before they occur. This enables maintenance activities to be performed at the right time, reducing unexpected breakdowns and unnecessary maintenance.
By continuously monitoring equipment parameters such as temperature, vibration, pressure, energy consumption, operating hours, and system performance, predictive maintenance can identify abnormal conditions and early warning signs before they develop into major equipment failures.
When integrated with Building Management Systems (BMS), IoT sensors, and intelligent monitoring platforms, predictive maintenance provides facility operators with real-time information, alarms, trends, and performance data. This helps improve maintenance planning, increase equipment reliability, reduce unplanned downtime, optimize maintenance costs, and extend the service life of critical assets.