Case Study: a leading power generate company avoids boiler feed pump failure with VROC AI

No-code AI predicts future Boiler Feed Pump failure, saving the customer $150,000 USD

The customer, a leading power generation company, was investigating how AI predictive analytics could improve asset health monitoring and predictive maintenance for critical equipment like boiler feed pumps. They partnered with VROC to utilize its AI platform for this initiative.

VROC implemented no-code AI models to monitor the pump's sensor data, including bearing temperatures and flowrate. The solution successfully detected a two-month degradation trend that had gone unnoticed, predicting an impending failure. This advance warning allowed the client to deploy a backup pump and avoid downtime, resulting in an estimated savings of $150,000 USD.