Predictive Maintenance

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Predictive Maintenance uses real-time data from sensors to monitor the health and performance of critical aircraft components. By analyzing patterns and identifying early signs of potential issues, it allows airlines to address problems before they lead to failures, thus preventing unplanned downtime. 

Predictive Maintenance relies on data from various aircraft sensors, including engine health monitoring, vibration, temperature, pressure, and fuel flow. These sensors provide real-time data on the performance and condition of key systems, allowing for accurate predictions about when maintenance is needed. 

Scheduled maintenance is based on fixed time intervals or usage metrics, regardless of the actual condition of the equipment. Predictive Maintenance, on the other hand, uses real-time data to assess the current health of aircraft components, allowing for maintenance to be performed only when necessary, reducing unnecessary repairs and downtime.