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Case Study - 24/7 Monitoring of Motors, Belts, and Bearings

Webinar

Mar29

Date & Time:

Recorded

03/29/23

About the Webinar

Join us for an informative webinar on the case study of how our SmartIR provided 24/7 monitoring of motors, belts, and bearings for a major retailer’s distribution centers. SmartIR was able to inform the organization’s predictive and preventative maintenance processes, and paid for itself in just one month! SmartIR will maximize equipment lifespan and eliminate high criticality failures that cause unplanned downtime and waste. The case study will cover the challenges faced by the distribution center, how they overcame them with SmartIR, and the results they achieved.

 

This webinar is ideal for maintenance and reliability professionals, plant managers, engineers, and anyone interested in learning about the latest advancements in thermal monitoring technology for preventative maintenance. You will have the opportunity to ask questions, interact with our expert speaker, and gain valuable insights into how you can maximize efficiencies. 

 

Participants should expect to learn:

  • The benefits of continuous monitoring solutions for maintaining critical electrical and mechanical assets
  • How to set up a 24/7 monitoring system
  • The impact of predictive maintenance on equipment reliability, maintenance costs, and overall plant efficiency
  • How to minimize unscheduled downtime and emergency repairs 
  • How to eliminate high criticality failures 

View the Recording!


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Meet the Host

Taimen Taylor, our Director of Customer Solution Engineering here at ICI, has an undergraduate degree in Computer Engineering from Kettering University (formerly General Motors Institute) and earned his MBA from Michigan State University.  He has more than 10+ years of experience working with infrared and other remote sensing technologies. Taimen has performed or worked with customer to perform a wide range of applications including infrastructure condition assessment, R&D applications (DoD, Universities, Manufacturing, etc), automotive manufacturing applications, medical applications, and everything in between.