Predictive maintenance is an approach to maintenance that uses data and analytics to predict when equipment is likely to fail. By predicting when equipment is likely to fail, predictive maintenance can help organizations avoid downtime, schedule maintenance around equipment availability, and reduce the overall cost of maintenance.
Some of the emerging trends in predictive maintenance include the use of artificial intelligence and machine learning algorithms to improve accuracy, the use of sensors to collect more data points, and the development of new software platforms to make predictive maintenance more accessible.