Predictive maintenance (PM) is a type of maintenance strategy that uses data analysis and machine learning techniques to predict when maintenance is needed for equipment or machinery. PM aims to reduce downtime and maintenance costs by identifying potential issues before they cause a failure or breakdown. PM typically involves monitoring the performance of equipment using sensors or other data collection methods, and using algorithms to analyze the data and predict when maintenance will be needed. By identifying potential issues before they occur, PM can reduce unplanned downtime, improve the lifespan of equipment, and increase productivity and efficiency in a variety of industries, including manufacturing, transportation, and energy.