Fouling, the unwanted deposition of materials on heat transfer surfaces, poses a significant threat to the efficiency of heat exchangers in process heating and cooling applications. By insulating heat transfer surfaces and impeding heat exchange, fouling undermines overall efficiency. Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge across industries. This initiative focuses on implementing predictive maintenance strategies to address fouling-related issues proactively. By leveraging advanced analytics and real-time data, potential fouling events can be anticipated, allowing for timely maintenance interventions to optimize heat exchanger performance and prolong operational lifespan.