Quick detection of a bearing defect at a lumber mill saved $48,000 with Waites condition-based monitoring.
RESOURCE CENTER Insights, guides, and tools to help you protect what matters most
Welcome to the Waites Resource Center: a collection of case studies, articles, and news designed to inform, educate, and inspire. Explore how predictive maintenance is being used across industries to reduce downtime, extend equipment life, and improve maintenance strategies. Whether you're just starting out or looking to deepen your understanding, these resources offer practical insights grounded in real-world applications.
WHERE ARE YOU ON THE MAINTENANCE MATURITY CURVE?
Most maintenance programs fall somewhere between reactive and scalable, but few know exactly where they land. How mature is your org's maintenance program?
Waites' early detection of a gearbox issue saved $83K and 48 hours of downtime.
At a Waites’ customer’s auto plant, the motor on the phosphate sludge filter began showing increasing acceleration and peak-to-peak vibration levels.
Discover how early detection of unbalance in arbor bearing NDE saved a lumber mill $24K and avoided five hours of downtime with predictive maintenance.
Waites' wireless temperature sensors detected a gearbox overheating in a paper machine before failure.
Early alerts from vibration sensors at a glass manufacturing facility prevented motor failure.
Early temperature detection by Waites prevented significant conveyor downtime, saving $200,000 and ensuring smooth operations at a major logistics hub.
Lubrication of hog rotor bearings at a sawmill restored stability, saving $126K with condition-based monitoring.
Discover how proactive lubrication saved $37K and avoided 48 hours of downtime in a glass manufacturing facility.
Predictive vibration monitoring by Waites prevented pump failure, saving $314K at a forest products facility.
Waites' predictive maintenance prevented a gearbox failure, saving $200,000 and avoiding 2 hours of downtime at a critical logistics hub.
Discover how a leading U.S. concrete manufacturer successfully transitioned from reactive to predictive maintenance.