Proactive maintenance programs are increasingly identifying the pivotal role of unexpected behavior management in bolstering asset durability. Rather than solely reacting to machinery failures, a sophisticated approach leverages real-time data inputs and advanced analytics to detect deviations from established operational norms. This early warning