Evaluate the four steps of the predictive maintenance process and how they work
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' predictive maintenance prevented a gearbox failure, saving $200,000 and avoiding 2 hours of downtime at a critical logistics hub.
Demand for advanced predictive maintenance surges globally; Waites delivers AI-driven insights to manufacturers worldwide.
The industrial sector is turning to data analytics to reduce downtime and the high costs of production halts.
In today’s industrial landscape, every minute of downtime is a direct hit to productivity, profitability, and reputation.
Bowman, a proven sales leader, joins Waites to support the company’s global market expansion. Read more in this press release.
Discover how a leading U.S. concrete manufacturer successfully transitioned from reactive to predictive maintenance.
How Owens Corning prevented an $11 million failure with Waites.
Presented by ReliabilityWeb.com, the award recognizes Waites’ global leadership in condition monitoring and dedication to helping customers eliminate downtime and extend asset life.
Uncover how Owens Corning prevented an $11M failure with the Waites predictive maintenance system
Waites expands presence in South America with Uteco Tecnología Partnership.
How Waites' predictive maintenance resolved a critical fan issue through real-time vibration monitoring.