IMC Presentation 45:25 Minutes

by Martin Robinson, IRISS

Thousands of electrical personnel are injured or killed annually on the job because of electrical accidents. Companies lose millions of dollars from unplanned power interruptions or outages due to failing critical electrical assets. Can these two scenarios be eliminated by technology? The answer is yes!

Predictive and safe reliability strategies achieve great safety and great safety is great business. Why?

  1. Innovative products and services are available for inspections of energized electrical assets in a closed, guarded and safe condition ensuring personnel are never exposed to the dangers of Arc Flash or electrocution.
  2. Condition based monitoring of critical electrical assets using these reliability strategies can be performed at any time, so asset deterioration can be detected long before it fails completely.
  3. Data-driven procedures using these reliability strategies are performed with minimal disruption to daily facility operations – in contrast to historical time-based shutdowns required in the past.
  4. Companies recognize that reliability strategies focused on safety and efficiency save their bottom line and provide for compliance to safety regulations.

Today’s electrical distribution assets are more complex and require a different approach to maintenance. Technology is available today to support data-driven reliable and safe condition based monitoring of these assets enabling companies to recognize safe, effective and profitable outcomes.

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IMC Presentation (53:08 minutes)

by Richard Wurzbach, MRG Labs

American Axle and Manufacturing Upgrade and Consolidation Story with Zero Production Downtime

American Axle and Manufacturing Upgrade and Consolidation Story with Zero Production Downtime

Best practices for a Maximo upgrade – timeline and budget Challenges overcome and lessons learned Business case for zero downtime tool – how it impacted upgrade and operations
Establishing Expectations and Requirements for Performance Digital Twins

Establishing Expectations and Requirements for Performance Digital Twins

Jared Hartness, GE Digital

Implementing digital twins is becoming a strategic necessity for many industrial companies. In this session, learn the basics of how digital twin models should be built, how to scale and implement these models on assets and systems to create a twin, and discover best practices for how to leverage these twins operationally to predict, diagnose and forecast performance degradation as a part of your reliability work processes.

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