DocumentCode :
1392449
Title :
Application of Monte Carlo simulation to optimal maintenance scheduling in a parallel-redundant system
Author :
Billinton, R. ; Pan, J.
Author_Institution :
Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
Volume :
147
Issue :
5
fYear :
2000
fDate :
9/1/2000 12:00:00 AM
Firstpage :
274
Lastpage :
278
Abstract :
A modified distribution function is created based on the assumption that the component useful life phase is associated with an exponential distribution and the wearout period is subject to a Weibull distribution (β>1). Using the modified distribution function, a Monte Carlo simulation approach is used to obtain the total failure frequency and optimum maintenance interval for a parallel-redundant system where each component can enter its wearout period. Two examples are used to illustrate the simulation procedure. The effect of the Weibull parameter β on the optimum maintenance interval for a parallel-redundant system is illustrated
Keywords :
Monte Carlo methods; Weibull distribution; exponential distribution; maintenance engineering; power systems; redundancy; scheduling; Monte Carlo simulation; Weibull distribution; Weibull parameter; exponential distribution; modified distribution function; optimal maintenance scheduling; optimum maintenance interval; parallel-redundant system; power system components; total failure frequency;
fLanguage :
English
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
Publisher :
iet
ISSN :
1350-2360
Type :
jour
DOI :
101049/ip-gtf:20000603
Filename :
874987
Link To Document :
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