Predictive Maintenance in 90 Minutes: From Vibration  to Value

You don't need a six-month AI project to start predictive maintenance. You need a vibration sensor, a CMMS, and a clear path from data to action.

This workshop demonstrates the fastest route to predictive maintenance ROI. We'll walk through connecting a wireless vibration sensor to a rotating asset, configuring threshold-based and trend-based alerts, and automatically generating work orders in a CMMS when conditions warrant intervention.
What we'll cover:

Vibration data fundamentals: acceleration, velocity, temperature - what matters and why

Baseline establishment and alarm threshold configuration
Integration architecture:

Sensor → Cloud → Logic → CMMS Work Order

Dashboard design for asset health status and maintenance queue visibility

What you'll leave with:
A reference architecture you can take back to your plant
Clear understanding of where ML adds value (and where simple thresholds win first)

Practical guidance on sensor selection, placement, and sampling rates

A framework for expanding from pilot asset to plant-wide coverage

No prior predictive maintenance experience required. This is the starting point for teams ready to move beyond reactive maintenance without boiling the ocean.