Statistical methods for condition assessment of low-failure assets

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Abstract

For (electrical) infrastructure assets a high reliability is required. When assets cannot be monitored and no condition information is available, statistical methods can be used to assess their condition. This paper discusses statistical methods to assess the condition of LV cables, which is a typical example of electric components with a very low failure rate. Two survival methods and three classification methods are compared. The Cox Proportional Hazard model proved to be the most suitable. The influence of variables on the failure probability provides insight in failure mechanisms and asset groups which have a high failure probability. In this paper it is proved that a great amount of information can be gained using survival analysis for ageing infrastructure assets.

Original languageEnglish
Title of host publication2019 IEEE Milan PowerTech, PowerTech 2019
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-5386-4722-6
DOIs
Publication statusPublished - 1 Jun 2019
Event2019 IEEE Milan PowerTech, PowerTech 2019 - Milan, Italy
Duration: 23 Jun 201927 Jun 2019

Conference

Conference2019 IEEE Milan PowerTech, PowerTech 2019
CountryItaly
CityMilan
Period23/06/1927/06/19

Keywords

  • Asset management
  • Big data applications
  • Power distribution
  • Power grids
  • Regression analysis

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