In the chemical industry, flash evaporators are crucial assets that require careful monitoring and maintenance to minimize runtime failures and downtime. However, the operations plant team faces numerous operational challenges due to frequent failures of critical assets like evaporators. This use case focuses on implementing predictive maintenance strategies for flash evaporators to address these challenges. By leveraging advanced monitoring technologies and predictive analytics, we aim to provide the operations team with early insights into potential failures, enabling proactive maintenance actions to prevent unplanned downtime.