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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Research Journal of Applied Sciences, Engineering and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
