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Pot Failure Prediction in EGA

  • Shaikha Al Shehhi,
  • Satheesh Mani,
  • Jose Blasques,
  • Yusuf Ahli

摘要

EGA is working to improve the accuracy of process control and process prediction through the adoption of 4.0 technologies. There are 2843 pots across the two EGA sites. Accurate prediction of pot failures is needed to optimize resources and workforce allocation. The model also helps in achieving the target pot life considering various factors of different EGA technologies with kA values ranging from 230 to 465 kA, construction materials, operating parameters, and current failure control measures. In this paper, we will further discuss how the cost of operating with aged pots can be linked to that of replacing them with new pots. This is an interactive dashboard where the shop floor can provide the system with details of the actions taken to improve the forecast day by day.