Applying the Inverse Gaussian Distribution to the Assessment of Chemical Reactor Performance

T. Z. Fahidy

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.


Full Text: PDF DOI: 10.5539/ijc.v4n2p26

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

International Journal of Chemistry   ISSN 1916-9698 (Print)   1916-9701 (Online)

Copyright © Canadian Center of Science and Education

To make sure that you can receive messages from us, please add the 'ccsenet.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.