Predictive maintenance is a maintenance strategy that utilizes data and analytics to predict when a machine or system is likely to fail or require maintenance. It is a proactive approach to maintenance that helps to reduce downtime and improve the efficiency of a system. Predictive maintenance can be used to detect and diagnose potential problems before they become an issue, allowing for preventive maintenance to be performed before a system fails. Predictive maintenance also helps to reduce costs associated with repairs and downtime, as well as increasing the overall reliability of a system. Predictive maintenance relies on data collected from sensors and other sources to identify patterns and anomalies that may indicate a potential issue. This data is then analyzed to create a predictive model that can be used to forecast when maintenance or repairs may be needed. By monitoring and analyzing data, predictive maintenance can help to identify potential problems before they become a major issue, helping to reduce downtime and improve the efficiency of a system.