Predictive maintenance refers to the use of data-driven, proactive monitoring techniques to predict when a system or component, such as a catalyst, is likely to fail. This approach leverages advanced technologies like machine learning, IoT sensors, and data analytics to monitor the health and performance of catalysts, thereby minimizing downtime and optimizing operational efficiency.