A knowledge-based system architecture for diagnosis and sensor validation in chemical process plants /
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1989
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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. |
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NDLTD |
language |
English |
sources |
NDLTD |
topic |
Engineering |
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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 |
work_keys_str_mv |
AT shumsikkwan aknowledgebasedsystemarchitecturefordiagnosisandsensorvalidationinchemicalprocessplants AT shumsikkwan knowledgebasedsystemarchitecturefordiagnosisandsensorvalidationinchemicalprocessplants |
_version_ |
1719448732996468736 |