Our website uses cookies. By continuing to browse our site you are agreeing to our Cookie Policy.
Back To Top
Chemical Manufacturer<br>for Food Ingredients Chemical Manufacturer<br>for Food Ingredients

This manufacturer wanted to increase predictive maintenance and uptime, decrease labor costs, have more insights, and maintain asset health. They were a good prospect for an alternative solution because they had a lot of failures and were looking for a Condition-Based Monitoring solution.

Our Condition-Based
Monitoring Approach

We started by performing a cost savings analysis—showing the customer that they can have great insights into their data while being able to eliminate much of their existing Preventative Maintenance (PM) programs.

Their trial program:

  • 75 sensors across 28 assets
  • A gateway
  • Seven repeaters
  • AMS Machine Works
  • Professional services and installation
  • Monthly vibration analysis reports
Trial
Trial

75 Sensors
Across 28 Assets

Value
Value

Avoid a Catastrophic Failure,
Machine Health Insights

Expected ROI
Expected ROI
1-2 Months
Rollout
Rollout

200 Sensors Across
100 Additional Assets

Value From Day One

During the trial, we caught a bearing defect in one of their motors. This came about because one of our sensors detected a trending failure mode. The customer’s technicians took it offline and found a stress crack. If neglected, it would have led to a catastrophic failure—the motor would have either stopped working or could have torn itself apart.

Thanks to our PeakVue™ software, which can detect micro-stress cracks and lubrication defects (lack of or over lubrication) up to 6 months before a functional failure, a crisis was averted. An added value is that the customer can decide how to plan for this either before or during their next planned outage.

Get in touch with one of our engineering experts to discuss solutions to optimize and meet your operational objectives.
TALK TO ONE OF OUR EXPERTS IN THIS FIELD
(201) 934-9200
+
Talk to an expert