Evaluation of mean life of power equipment based on 3-parameter weibull distribution

Yicheng Zhou, Moritoshi Kato, Naoki Saitou, Ryuichi Yokoyama

Research output: Contribution to journalArticle

Abstract

Evaluation of the mean life of equipments is a basic issue for effective equipment maintenance. This paper presents a method to estimate the mean life and its standard deviation of power system equipments with limited end-of-life failure data. We propose a model using 3-parameter Weibull distribution based on the results Li (2004) produced. It is assumed that the mean life of power equipments consists of "non end-of-life failure period" and "period of aging end-of-life failure", which is represented by a location parameter of Weibull distribution. Three parameters of Weibull distribution are estimated by applying Levenberg-Marquardt method, which is one of the optimization algorithms. The computational procedures of non-linear regression, which take account both of good convergence and practical use are proposed. Numerical examples show that our model better fits to actual data than 2-parameter Weibull distribution model.

Original languageEnglish
JournalIEEJ Transactions on Power and Energy
Volume129
Issue number7
DOIs
Publication statusPublished - 2009

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Weibull distribution
Aging of materials

Keywords

  • 3-parameter Weibull distribution
  • Equipment maintenance
  • Failure data
  • Mean life
  • Non-linear regression
  • Power equipment

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Cite this

Evaluation of mean life of power equipment based on 3-parameter weibull distribution. / Zhou, Yicheng; Kato, Moritoshi; Saitou, Naoki; Yokoyama, Ryuichi.

In: IEEJ Transactions on Power and Energy, Vol. 129, No. 7, 2009.

Research output: Contribution to journalArticle

Zhou, Yicheng ; Kato, Moritoshi ; Saitou, Naoki ; Yokoyama, Ryuichi. / Evaluation of mean life of power equipment based on 3-parameter weibull distribution. In: IEEJ Transactions on Power and Energy. 2009 ; Vol. 129, No. 7.
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