Data Analytics for Grid Resilience with Early Failures and Wear-out Failures

Robert Ross, Peter A.C. Ypma, Gerben Koopmans

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
4 Downloads (Pure)


The here reported work is part of a project on supporting grid resilience by asset management techniques. The present work focuses on support of decision-making after a few failures occurred that may be the start of many more. Methods are reviewed and new algorithms developed where the present IEEE/IEC standard does not provide. Two cases of early failures and wear-out are analyzed as examples for the data analytics.

Original languageEnglish
Title of host publicationSoutheastCon 2022
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
ISBN (Electronic)978-1-6654-0652-9
Publication statusPublished - 2022
EventSoutheastCon 2022 - Mobile, United States
Duration: 26 Mar 20223 Apr 2022

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
ISSN (Print)0734-7502


ConferenceSoutheastCon 2022
Country/TerritoryUnited States

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • bathtub curve
  • censored data
  • early failures
  • failure time prediction
  • hazard rate
  • performance ratio
  • redundancy
  • similarity index
  • Weibull
  • weighted linear regression

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