%0 Journal Article
%T Modelling Complete Power Outage Data Using Reliability
%A N. P. Akpan
%A N. A. Bassey
%J American Journal of Operations Research
%P 87-99
%@ 2160-8849
%D 2021
%I Scientific Research Publishing
%R 10.4236/ajor.2021.112005
%X Data on
time between complete power outages, Time between Failure (TBF) in Uyo were
considered. Trend test and serial correlation test were conducted graphically
for the data. The tests proved that the data were identically and independently
distributed (iid). Summary statistics of the data showed that complete power
outage occurred 416 times between the year 2014 and 2018. The maximum
likelihood estimation method was used to estimate the parameters of Weibull
2-parameter, Normal, Lognormal 2-parameter and exponential distributions. The
values of Kolmogorov-Smirnov, Anderson Darling and Chi-Square statistics were
used to determine the best fit distributions. A model</span></span><span><span><span style=\"font-family:&quot;\"> </span></span></span><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\">for the
computation of reliability of electric power was then proposed</span></span></span><span style=\"font-family:Verdana;\">.
%K Reliability
%K Power Outage
%K Time between Failure
%K Weibull 2-Parameter  Distribution
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=107595