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Estimating mean life of an aged power equipment group with operation data sequence
Author(s) -
Toyoda Junichi,
Sakamoto Kunio,
Chida Takuji
Publication year - 2010
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.20961
Subject(s) - weibull distribution , sequence (biology) , reliability engineering , power (physics) , statistics , computer science , estimation , engineering , mathematics , systems engineering , genetics , physics , quantum mechanics , biology
This paper proposes a systematic method of estimating the mean life of an aged power equipment group based on the approach of Dr. W. Li of BCTC, Canada (IEEE Transactions on Power Systems, February 2004). In order to estimate the mean life of aged power equipment systematically and effectively with the operation data sequence, a linear estimation method is developed on the assumption that the stochastic behavior of aged equipment life determines the probability distribution model, such as the normal model or the Weibull model. Introductory and practical examples are illustrated for verification of the proposed approach. © 2009 Wiley Periodicals, Inc. Electr Eng Jpn, 170(4): 18–25, 2010; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20961