Deploying predictive maintenance at
Precision Associates

We recently deployed Control Seat predictive maintenance at Precision Associates, Inc. (PAI), a manufacturer of precision rubber seals, O-rings, and molded components for demanding industrial applications.

The deployment brings predictive maintenance to critical equipment across PAI's operation. Wireless sensors continuously monitor vibration, ultrasound, and temperature, giving the team one place to follow machine health and see how it changes over time.

Catching changes earlier

Control Seat's software establishes how each monitored machine normally runs and looks for meaningful changes in its condition. When behavior begins to drift, PAI's team can review the underlying measurements, compare them with earlier readings, and decide what to inspect before a developing issue becomes an unexpected failure.

This gives the maintenance team a clearer picture between routine checks. Instead of relying on a single reading or waiting for an obvious symptom, they can follow trends across the equipment and investigate changes with the evidence in front of them.

Installing Control Seat wireless sensors on production equipment at PAI.

Built for the equipment on the floor

The sensors mount directly to the equipment and report wirelessly to Control Seat's monitoring software. Each one captures three-axis vibration, ultrasound, and temperature without requiring PAI to replace its existing controls or connect every machine to a new system.

That makes it practical to begin with the assets that matter most, establish a baseline, and expand coverage over time.

A connected equipment history

Control Seat brings sensor readings and equipment history together for maintenance investigations. Teams can start with sensors alone and add existing plant data when they need more operating context.

At PAI, the work starts with better visibility into equipment condition. The monitoring can grow as more equipment and useful data sources are added.

The Control Seat team at Precision Associates.

Thank you to the PAI team for working closely with us throughout the deployment. If your team wants earlier warning of developing equipment problems, talk with us about your machines.

— Jack & Warren