Research Article | OPEN ACCESS
The Performance of High-power Station Based on Time Between Failures (TBF)
1Faris Mahdi Alwan, 1Adam Baharum and 2Saad Talib Hasson
1School of Mathematical Sciences, University Sains Malaysia, 11800 USM Penang, Malaysia
2Department of Computer Science, College of Science, Babylon University, Iraq
Research Journal of Applied Sciences, Engineering and Technology 2013 13:3489-3498
Received: May 26, 2012 | Accepted: July 18, 2012 | Published: April 15, 2013
Abstract
Many human activities are electricity-dependent. As major providers of electricity, the performance of high-power stations represents a vital part of any national economy. In the present study, we identified the distribution fitting to TBF. The distribution fitting based on failure data collection, calculated TBF, plotted the histogram for TBF and matched the plot on the continuous distributions' functions have been investigated. Then, the most valid distribution was found to be the Three-parameter Weibull distribution. Shape, scale and location parameters values were 0.75169, 32.125 and 1.9375, respectively.
Keywords:
Distribution fitting, failure rate, hazard function, reliability function,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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