Predictive maintenance is a maintenance strategy that uses data analysis, machine learning, and artificial intelligence to predict equipment failure and schedule maintenance before a failure occurs. PdM is different from traditional maintenance methods, which are based on pre-scheduled inspections or reactive maintenance, where maintenance is only performed after a failure has occurred.
PdM relies on the collection and analysis of equipment data, such as vibration, temperature, and pressure, to identify patterns and anomalies that indicate impending failure. By analyzing this data, PdM algorithms can predict when maintenance is required, allowing for maintenance to be performed proactively before equipment failure occurs.