At a large facility developing and producing medical products, Waites detected signs of a developing bearing defect on a rooftop supply fan motor.
Discover how a leading EV manufacturer saved $51M by using AI sensors for predictive maintenance, eliminating unplanned downtime without overloading their techs.
Quick detection of a bearing defect at a lumber mill saved $48,000 with Waites condition-based monitoring.
How Waites' predictive maintenance resolved a critical fan issue through real-time vibration monitoring.
Monitoring vibration trends prevented fan disruption in tunnel dryers, saving $990K.