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Malfunction of process instruments and its detection using a process control computer

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thesis
posted on 17.07.2018, 10:13 by Samuel N. Anyakora
From an initial concern with investigation of ways in which the process control computer could learn the project was narrowed down to instrument malfunction detection. Preliminary surveys in industry were made and from there general ideas of modes of failure of some instruments were obtained. A wider survey of instruments in different environmental conditions followed. Failure information and reliability data on about 9,500 instruments representing a total of about 4,500 instrument years’ operating time were obtained. [Continues.]

Funding

Loughborough University of Technology, Department of Chemical Engineering.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Chemical Engineering

Publisher

© Samuel Nnaemeka Anyakora

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

1971

Notes

A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.

Language

en

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