A knowledge-based system architecture for diagnosis and sensor validation in chemical process plants /

Bibliographic Details
Main Author: Shum, Sik-Kwan
Language:English
Published: The Ohio State University / OhioLINK 1989
Subjects:
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1487675687176417
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu14876756871764172021-08-03T06:55:15Z A knowledge-based system architecture for diagnosis and sensor validation in chemical process plants / Shum, Sik-Kwan Engineering 1989 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1487675687176417 http://rave.ohiolink.edu/etdc/view?acc_num=osu1487675687176417 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Engineering
spellingShingle Engineering
Shum, Sik-Kwan
A knowledge-based system architecture for diagnosis and sensor validation in chemical process plants /
author Shum, Sik-Kwan
author_facet Shum, Sik-Kwan
author_sort Shum, Sik-Kwan
title A knowledge-based system architecture for diagnosis and sensor validation in chemical process plants /
title_short A knowledge-based system architecture for diagnosis and sensor validation in chemical process plants /
title_full A knowledge-based system architecture for diagnosis and sensor validation in chemical process plants /
title_fullStr A knowledge-based system architecture for diagnosis and sensor validation in chemical process plants /
title_full_unstemmed A knowledge-based system architecture for diagnosis and sensor validation in chemical process plants /
title_sort knowledge-based system architecture for diagnosis and sensor validation in chemical process plants /
publisher The Ohio State University / OhioLINK
publishDate 1989
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1487675687176417
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AT shumsikkwan knowledgebasedsystemarchitecturefordiagnosisandsensorvalidationinchemicalprocessplants
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