Q&A session featured at the 2024 Manufacturing the Future Summit.
Lou Romano, KCF Technologies
David Bonfante, Georgia-Pacific
Tatiana Borges, RigCLOUD
John Eutsey, Synthomer
Alex Puentes, Carpenter Technology
See how KCF helps you maximize operations and reduce unplanned downtime
Most industrial pumps operate at less than half of their potential efficiency, usually due to poor operating conditions and practices that can be impossible to pinpoint with traditional approaches to maintenance.

Cooling towers are hard to reach and hard to monitor, so many maintenance pros miss key indicators of imminent failure. Tower failure can have downstream impacts on almost all production processes.
Route-based maintenance doesn’t capture the full picture of ID/FD fan health. These fans are large, putting relatively small data anomalies lower on the priority list — but they are often a warning sign of imminent failure.


Q&A session featured at the 2024 Manufacturing the Future Summit.
Lou Romano, KCF Technologies
David Bonfante, Georgia-Pacific
Tatiana Borges, RigCLOUD
John Eutsey, Synthomer
Alex Puentes, Carpenter Technology
Nuclear power plants use large amounts of water for cooling, with more than half of the energy produced by a nuclear power plant lost as heat. However, accurately tracking thermal output can be a challenge.
Susquehanna Steam Electric Station (SSES), a division of Talen Energy, was tasked with addressing this industry-wide problem and partnered with KCF Technologies to develop a solution. Through a comprehensive hardware and software platform, SSES is already seeing quick wins from its new investment.
Manufacturers and producers in the energy sector have to keep a watchful eye on O&M costs, and every machine failure can cause that number to creep up. Traditional route- or time-based monitoring doesn’t capture smaller data anomalies that can alert your team to imminent failure before it’s too late.
Replace time-based maintenance with as-needed maintenance.
Detect thermal losses in real time with continuous pressure and temperature monitoring—so you can prevent lost megawatts and avoid costly heat rate inefficiencies.
Prioritize maintenance activities based on criticality instead of best guesses.
Use real-time asset data and AI-driven insights to prioritize maintenance by criticality, avoid unnecessary shutdowns, and prevent costly unplanned downtime.

Learn how KCF Technologies optimizes overfire air fan performance through SMARTdiagnostics real-time monitoring.
A railcar leader partnered with KCF Technologies and FUCHS. SMARTdiagnostics™ flagged oil-related gearbox issues—38% of alerts were lubrication-related.
Altoona Water caught a critical issue early with KCF SMARTdiagnostics. Insights from the $199 pilot is now being deployed to fix all their Linear Motion Mixers.
Want to eliminate unplanned downtime and extend the lifespan of your critical assets?
Contact us to see how our comprehensive, AI-driven predictive maintenance platform can optimize your operations.