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Duke Energy Takes Advantage of IIoT for Predictive Maintenance Applications

September 4, 2018 By

Duke Energy implemented an end-to-end solution for plant-wide condition monitoring across 30 facilities.

Read more in this case study from IHS Markit, which covers:

 • Manual data collection replacement
 • Technology investment and operation
 • Implementation challenges
 • Solution payback from avoided costs

This case study investigates Duke Energy’s quest to replace its monthly, manual data collection practices with daily, remote data collection and monitoring.

Download the case study from National Instruments to learn more…

Filed Under: National Instruments, White Papers

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