Case Study: Westmoreland Coal Company detects generator winding arcing faults and avoids losses with Nanoprecise Sci Corp

Detection Of Arcing Faults In Generator Winding Prevented $0.5 Million In Potential Losses

Westmoreland Coal Company, a 150-year-old mining firm, faced significant financial risks from unplanned equipment shutdowns at its Genesee site. An unexpected failure on a dragline's boom bearing underscored the critical need for an automated predictive maintenance solution to prevent future losses. They partnered with Nanoprecise Sci Corp to implement a pilot project using the RotationLF system.

Nanoprecise installed approximately 30 wireless sensors on the draglines, which connected to their SaaS platform. The system quickly detected an anomaly, sending a fault notification that led to the discovery of a snapped spring and a carbon rod arcing fault. This early warning allowed for immediate repairs, preventing an estimated $500,000 in potential losses and safeguarding the company's 15-year safety record.

Westmoreland Coal Company