Abstract

Reliability (or survival) functions based on the inverse Gaussian distribution are used to predict the probability of repair times expectable past a specified time period, and the probability of energy release past a stipulated magnitude, in two (separate) experimental chemical reactors. Such predictions serve for reaching decisions about future employ of the reaction system on a pilot or a commercial scale. The approach illustrates a cross fertilization of chemical reaction engineering/ technology and applied probability theory, and aims to increase appreciation of the latter among chemical scientists, engineers and technologists.

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