A global leader in heavy haul railcar components, embarked on a pilot project with KCF Technologies and FUCHS to proactively monitor the health of critical machinery. Among the assets covered were high-impact systems like grinders, compressors, motors, and blowers.
Early in the pilot, data from KCF’s SMARTdiagnostics™ platform began surfacing telltale signs of lubrication degradation—an often-overlooked culprit that can quietly escalate into catastrophic failure. In fact, the customer later confirmed that 38% of all flagged issues were directly linked to lubrication—primarily degradation and contamination.
One key example came from a gearbox (GBX) supporting grinder operations. The chain of events unfolded with real-time insights and decisive action:
Thanks to timely monitoring and collaboration between KCF’s analysts and the on-site maintenance team, a critical failure was prevented— demonstrating the value of early intervention. Transition to ongoing reliability planning, including oil sampling every two months.
The pilot exceeded our expectations and we’re moving forward with a long-term contract. Our grinders are a very unique application and we’re already capturing very interesting data and working with KCF to fine-tune the alarms.
Maintenance + Reliability Specialist
To build on the success of their predictive maintenance efforts, the maintenance team has the opportunity to further strengthen their lubrication program by partnering with FUCHS, a global leader in high-performance lubricants. FUCHS offers advanced lubrication solutions specifically engineered for industrial applications like grinders, motors, and gearboxes—where operating conditions are intense and failure risks are high. By integrating a Lubrication-Enabled Reliability program with FUCHS together with KCF’s real-time monitoring platform, the partners on-site can achieve even greater control over equipment health, extend asset life, and reduce the likelihood of future lubrication-related issues. Together, this combination supports a proactive, data-driven reliability strategy that maximizes performance and minimizes risk.
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