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Understanding Equipment Failures Before They Happen

Episode Summary

Howie Barber speaks with Denis Kouroussis about how continuous electrical monitoring and predictive analytics can help facility teams identify equipment issues before failures happen. They discuss waveform monitoring, predictive maintenance strategies and how data-driven insights can reduce downtime and improve operational reliability.  

Episode Notes

Today, host Howie Barber sits down with Denis Kouroussis to explore how continuous electrical monitoring and intelligent analytics are helping facility teams move beyond reactive maintenance.

They discuss the limitations of traditional preventative maintenance methods, the value of high-resolution waveform monitoring and how predictive insights can uncover hidden electrical and mechanical issues before equipment failures occur. Denis also shares a real-world case study involving a 750-ton hydraulic press where advanced monitoring identified the root cause of repeated motor failures, helping reduce downtime and avoid costly disruptions.

This episode is sponsored by SiteMap®, powered by GPRS. Learn more at sitemap.com/ifma 

Timestamps:

  • 0:00 Introduction
  • 1:03 Why Most Facilities Still Run Equipment to Failure
  • 2:48 How Continuous Waveform Monitoring Detects Early Issues
  • 4:10 Understanding Upstream vs. Downstream Electrical Problems
  • 5:07 Why Traditional Maintenance Methods Fall Short
  • 7:20 The Difference Between Preventative and Predictive Maintenance
  • 7:43 World Workplace 2026 Sponsor Message
  • 8:10 Case Study: The 750-Ton Hydraulic Press Failure
  • 11:34 How Early Can Equipment Degradation Be Detected?
  • 13:01 Transitioning From Scheduled to Predictive Maintenance
  • 13:39 Why Facility Managers Should Monitor Before Replacing Equipment
  • 14:10 Common Mistakes in Electrical Troubleshooting
  • 14:43 Closing Thoughts
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Show Contributors

  • Howie Barber
  • Denis Kouroussis
  • Elizabeth Shelton

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