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Today everything is being automated and digitally transformed. However, manual operator rounds are still the most common method of checking non-mission critical plant equipment. This limited information about equipment health status causes maintenance to be reactive and ultimately results in equipment and production downtime. By adding a wireless sensor network and predictive analytical software, plants can gain visibility to all assets, detect abnormal conditions, predict failures, and take early action to keep equipment healthy and running optimally.

Hydrocarbon Processing has recognized Yokogawa IIoT Plant Asset Management solution as the Best Asset Monitoring Technology in 2020! Join our webinar to see why!

In this webinar we will discuss:
 

  • IIoT, Asset Performance Management, and Condition Based Maintenance
  • Benefits of LoRaWAN® communication
  • Yokogawa IIoT and Sushi Sensors
  • Demonstrate Artificial Intelligence Analytics software (GA10)

Speaker


Speaker

Anu Mahesh

Product Manager, Yokogawa

Anu has over 18 years of experience in product management and marketing and is involved in all phases of the product lifecycle. She holds a Master’s degree in Management Information Systems from the University of Texas.

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