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2014 (Vol. 7, Issue: 4)
Article Information:

Impact of Different Repair Assumptions on Repairable System Risk Assessment

Rano Khan Wassan, Mohd Amin Abd Majid and Ainul Akmar Mokhtar
Corresponding Author:  Rano Khan Wassan 

Key words:  Parametric Recurrent Data Analysis (RDA), repairable system, repair assumptions, risk assessment, , ,
Vol. 7 , (4): 870-874
Submitted Accepted Published
May 21, 2013 June 11, 2013 January 27, 2014
Abstract:

In this study risk assessment is carried out to estimate the probability and magnitude of risk due to the unexpected system failure by considering different repair assumptions for repairable system. In order to measure the risk for different repair assumptions, the probability of failures and consequences are required. The probability of failure estimated using parametric Recurrent Data Analysis (RDA) approach while the consequences of failure analyzed based on reported data. Gas Turbine (GT) system was taken as a case study to verify the model. The results indicated that perfect repair assumption leads to minimum risk compared to imperfect and minimal repair assumptions. Based on results it was concluded that the maintenance team needs to follow perfect repair to mitigate the risk each time a failure happens.
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  Cite this Reference:
Rano Khan Wassan, Mohd Amin Abd Majid and Ainul Akmar Mokhtar, 2014. Impact of Different Repair Assumptions on Repairable System Risk Assessment.  Research Journal of Applied Sciences, Engineering and Technology, 7(4): 870-874.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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