Skip to main content
Top

2024 | OriginalPaper | Chapter

Pot Failure Prediction in EGA

Authors : Shaikha Al Shehhi, Satheesh Mani, Jose Blasques, Yusuf Ahli

Published in: Light Metals 2024

Publisher: Springer Nature Switzerland

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Metadata
Title
Pot Failure Prediction in EGA
Authors
Shaikha Al Shehhi
Satheesh Mani
Jose Blasques
Yusuf Ahli
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-50308-5_72

Premium Partners