Abstract
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 for the computation of reliability of electric power was then proposed.
Highlights
Epileptic nature of power has been considered as a major problem to the development of Nigeria
In order to obtain the mean time between failures (MTBF) the summary statistic is needed
From our results the Mean Time between Failures (MTBF) was found to be 105.0429 hours, this index reveals that power outage occurs after every 105.0429
Summary
Epileptic nature of power has been considered as a major problem to the development of Nigeria. It affects so many sectors such as educational sector, tourism, and manufacturing sector just to mention but few. It has imposed a huge cost on the affected sectors thereby leading to increased business uncertainty and lower returns on investments. The importance of electricity cannot be over emphasized. It plays vital role in the economic growth of both the developed and developing countries of the world.
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