Author Archive for Ralph Rio

Where is the Edge?

Edge computing has data, applications and services at the logical extremes of a network near the sensors or in the devices generating data, and away from centralized cloud data centers. Data management, communication, and some analytics occur at the source of the data i.e., in each device which is much smaller in scale compared to the cloud. […]

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IIoT Expands the Maintenance Maturity Model

With the emergence of Industrial IoT (IIoT), collecting data from equipment is moving from paper-based, manual inspections to automated systems. This improves both data quality and quantity.  IIoT-enabled remote asset monitoring also dramatically expands the number and variety of parameters that can be monitored cost effectively. Combined with today’s more advanced analytics, these data enable […]

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Salt River Project Uses IIoT to Prevent Losses

Andrew Johnson, Engineering Supervisor, Salt River Project, presented “Performance Monitoring Center” for asset monitoring and diagnostics during the ARC Forum session, “Moving to Predictive Maintenance with Industrial IoT (IIoT).”  Salt River Project (SRP), the oldest multipurpose federal reclamation project in the United States, has been serving central Arizona since 1903. Today, SRP is based in […]

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Moving to Predictive Maintenance with IIoT in Power Transmission Substations

The presentation “Moving to Predictive Maintenance” was given by Jeff Fleeman, Director, Advanced Transmission Studies & Technologies, American Electric Power, during the ARC Forum session, “Moving to Predictive Maintenance with Industrial IoT (IIoT).”  He focused on predictive maintenance for power transmission substations.  Electric power is one of the most mature industries for maintenance practices, with uptime […]

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Duke Energy Avoids Unplanned Downtime and Improves Reliability with IIoT and Predictive Maintenance

A presentation was given by Bernie Cook, Director, Maintenance and Diagnostics, Central Engineering, Duke Energy during the ARC Forum session, “Moving to Predictive Maintenance with Industrial IoT.” This case story shows how the emerging technologies – IIoT and analytics – allow specific types of critical assets to have near-zero unplanned downtime while improving asset longevity […]

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