期刊名称：International Journal of Computer Science and Management Studies
电子版ISSN：2231-5268
出版年度：2012
卷号：12
期号：1
出版社：Imperial Foundation
摘要：Reliability analysis for Gas turbine power plant over a period of 66-month was carried out. The most important failure modes units were identified and the descriptive statistics at failure and machine level were calculated. Several theoretical distributions were applied and best fit of failure data was identified. The reliability and hazard rate models of the failure data were determined to provide an estimate of the current operation management (i.e. maintenance policy, training, spare parts) and improve the line efficiency. It was found out that (a) the availability of the Gas turbine power plant unit (taken for case study) is 94.80%, (b) the failures due to mechanical and other causes amount to 45.1% of all the failures of the machine, (c) the time-between-failure (TBF) was drastically decreased there by suggesting that the probability to fail increased and the current maintenance policy should be revised, and (d) the failure times follow the lognormal distribution whereas the times-to-repair (TTR) a failure comply with the exponential distribution.
