DocumentCode :
3534997
Title :
On the use of statistical methods and models for predicting the end of life of electric power equipment
Author :
Maciejewski, Henryk ; Anders, George J. ; Endrenyi, John
Author_Institution :
Wroclaw Univ. of Technol., Wroclaw, Poland
fYear :
2011
fDate :
11-13 May 2011
Firstpage :
1
Lastpage :
6
Abstract :
This paper is devoted to the problem of estimating the end of life of electric power equipment. Several statistical methods and models commonly used in reliability engineering are discussed, focusing on (a) the technical merit of each described method, and (b) the suitability of each method for determining the end of life of power equipment. Description of statistical methods considers both censored and uncensored observations. The problem of model selection for analysis of censored data is given special consideration: a novel approach is proposed for this. The points made in the text are illustrated by several numerical examples pertaining to the lifetime of transformers, however the methods can be applied for other types of electric or electronic equipment (e.g., electronic relays).
Keywords :
power apparatus; power transformers; reliability; statistical analysis; electric power equipment; reliability engineering; statistical method; technical merit; transformer lifetime; Biological system modeling; Data models; Estimation; Hazards; Mathematical model; Parametric statistics; Statistical analysis; end of life prediction; mathematical models; reliability analysis; statistical methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering, Energy and Electrical Drives (POWERENG), 2011 International Conference on
Conference_Location :
Malaga
ISSN :
2155-5516
Print_ISBN :
978-1-4244-9845-1
Electronic_ISBN :
2155-5516
Type :
conf
DOI :
10.1109/PowerEng.2011.6036507
Filename :
6036507
Link To Document :
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