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Any failure on the recovery system will cause a lot of environmental damage as well asenergy loss. Hereof two types of alternatives; fast opening valve system (FOVS) and sealdrum system (SDS) may be installed. The focus of this article is on the decision stage tochoose the most preferred option in terms of reliability assessment. The major challenge inthe research problem is on changing the pressure and temperature during operational cycles, which significantly affect the reliability. In addition, the lack of historical data complicates the reliability assessment method. Hence, we proposed a hybrid approach using fault tree analysis (FTA) and the Mamdani fuzzy inference to estimate reliability response as a function of a few frequently operating pressure and temperature. Also, discrete-event simulation helped us to evaluate the system reliability at different operating conditions. The comparisons reveals that the FOVs outperforms on average of 22.4% than the SDS and it is recommended for putting into practice for purchasing.

Dynamic reliability assessment of a complex recovery system using fault tree, fuzzy inference and discrete event simulation