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. Copyright�� (2014) by the International Measurement Confederation (IMEKO).
Failure rates sensitivity analysis using Monte Carlo simulation / M. Catelani;L. Ciani;S. Rossin;M. Venzi. - STAMPA. - (2014), pp. 175-180. (Intervento presentato al convegno 13th IMEKO TC10 Workshop on Technical Diagnostics 2014: Advanced Measurement Tools in Technical Diagnostics for Systems' Reliability and Safety tenutosi a Warsaw (Poland) nel 2014).