Failure rates sensitivity analysis using Monte Carlo simulation |
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| M. Catelani, L. Ciani, S. Rossin, M. Venzi |
- Abstract:
- This paper is focused on sensitivity analysis achieved on system reliability: sensitivity assessment allows putting in discussion nominal values taken from a generic database and focus on uncertainty quantification and propagation of uncertainty from input to output. There are many sources of uncertainty that can affect input data and this uncertainty imposes a limit on our confidence in the response of the model. In this paper sensitivity analysis is achieved on GE Oil&Gas mineral lube oil console, a system forced to endure extreme process and environmental conditions. In order to have a wide sample survey Monte Carlo simulation is used supposing two different probability distributions (uniform and normal) for failure rates coming from OREDA Offshore Reliability Data Handbook.
- Keywords:
- sensitivity analysis, reliability assessment, Reliability Block Diagram (RBD), oil & gas applications, gas turbine auxiliary systems, Monte Carlo simulation, uniform distribution, normal distribution
- Download:
- IMEKO-TC10-2014-034.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC10
- Event name:
- TC10 Workshop on Technical Diagnostics 2014
- Title:
13th IMEKO TC10 Workshop "Advanced measurement tools in technical diagnostics for systems' reliability and safety"
- Place:
- Warsaw, POLAND
- Time:
- 26 June 2014 - 27 June 2014