
Most maintenance programs fall somewhere between reactive and scalable - where's your org?
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?
Most maintenance programs fall somewhere between reactive and scalable - where's your org?
Find out what’s holding your PdM strategy back—and how to fix it.
Dive into the Industrial Internet of Things (IIoT), its business applications, and the impact of connected operations on efficiency and reliability.
Discover how Waites delivers scalable, IT-light predictive maintenance solutions to eliminate unnecessary operational complexity.
Unlock the essentials of vibration monitoring to enhance equipment reliability, reduce costs, and improve safety.
See if your facility is at a tipping point for condition monitoring, and learn how to take action when the time is right.
Discover how PdM can multiply your team's expertise and reduce downtime by up to 70% while building the skilled workforce your organization needs for the future.
Explore the business opportunities opened up by IIoT and big data, as well as the challenges companies face when implementing them.
Detect and prevent the 10 most common machine failures in manufacturing with smart, real-time condition monitoring.
The universal adapter suite offers seamless wireless integration, reduces customer costs, and accelerates access to critical machine health data.
Is your vibration program keeping pace with what your operation really needs?
Evaluate the four steps of the predictive maintenance process and how they work