Case Study: Nutrien avoids costly conveyor downtime with Nanoprecise Sci Corp predictive maintenance

Detection Of Bearing Degradation Saves $0.7 Million Of Potential Lost Production

Nutrien, a global producer and distributor of agricultural products, faced the challenge of preventing unexpected downtime in the harsh environment of potash mining. Their intermittent, handheld vibration monitoring for critical conveyor gearboxes was labor-intensive and risked missing the progression of equipment faults. A failure could lead to 8-12 hours of unplanned downtime and significant production losses. To address this, they worked with Nanoprecise and implemented its RotationLF system for continuous condition monitoring.

Nanoprecise’s wireless, AI-powered solution was easily deployed and detected an early-stage bearing defect in a gearbox. This advanced warning allowed Nutrien to plan maintenance, reducing downtime from a potential 12 hours to just 6 and preventing an estimated $700,000 in lost production. The fault diagnosis was confirmed by Nutrien's own reliability team, validating Nanoprecise's accurate measurements and building trust in its predictive capabilities.

Nutrien