Remanufacturing Decision-Making for Gas Insulated Switchgear with Remaining Useful Life Prediction

Seokho Moon, Hansam Cho, Eunji Koh, Yong Sung Cho, Hyoung Lok Oh, Younghoon Kim, Seoung Bum Kim

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Remanufacturing has emerged as a way to solve production problems, as raw material costs increase and environmental pollution caused by discarded equipment occurs. The process can extend product lifetime and prevent waste of resources. In particular, it has economical efficiency for large equipment such as GIS (Gas Insulated Switchgear). The crucial points in remanufacturing are determining replaceable parts and economic valuation. To address these issues, we propose a framework for remanufacturing GIS with remaining lifetime prediction. We construct a regression model for remaining useful life (RUL) in the proposed framework using GIS sensor data. The cost of the replacement parts is estimated with the selected sensors. To validate the effectiveness of the proposed framework, we conducted accelerated life testing on a GIS for data acquisition and applied our framework. The experimental results demonstrate that the tree-based RUL regression model outperforms the others in prediction accuracy. In the simulation of part replacement, the important sensor-based decision-making improves RUL significantly.

Original languageEnglish
Article number12357
JournalSustainability (Switzerland)
Issue number19
Publication statusPublished - 2022 Oct

Bibliographical note

Publisher Copyright:
© 2022 by the authors.


  • accelerated life testing
  • gas-insulated switchgear
  • remaining useful life regression
  • remanufacturing
  • replacement simulation

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Environmental Science (miscellaneous)
  • Geography, Planning and Development
  • Energy Engineering and Power Technology
  • Hardware and Architecture
  • Management, Monitoring, Policy and Law
  • Computer Networks and Communications
  • Renewable Energy, Sustainability and the Environment


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