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Optimal automated process fault analysis

Chester, Daniel L.

Optimal automated process fault analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimal automated process fault analysisRichard J. Fickelscherer, Daniel L. Chester.
作者:	Fickelscherer, Richard J.
其他作者:	Chester, Daniel L.
出版者:	Hoboken, New Jersey :Wiley,2013.
面頁冊數:	1 online resource (xix, 204 p.) :ill.
標題:	Chemical process controlData processing.
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118481950
ISBN:	9781118481950 (electronic bk.)

Optimal automated process fault analysis
Fickelscherer, Richard J.

Optimal automated process fault analysis[electronic resource] /Richard J. Fickelscherer, Daniel L. Chester. - Hoboken, New Jersey :Wiley,2013. - 1 online resource (xix, 204 p.) :ill.

Includes bibliographical references and index.

"Process fault analyzers monitor process operations in order to identify the underlying causes of operational problems. Several diagnostic strategies exist for automating process fault analysis; however, automated fault analysis is still not widely used within the processing industries due to problems of cost and performance as well as the difficulty of modeling process behavior at needed levels of detail. In response, this book presents the method of minimal evidence (MOME), a model-based diagnostic strategy that facilitates the development and implementation of optimal automated process fault analyzers. MOME was created at the University of Delaware by the researchers who developed the FALCON system, a real-time, online process fault analyzer. The authors demonstrate how MOME is used to diagnose single and multiple fault situations, determine the strategic placement of process sensors, and distribute fault analyzers within large processing systems."-- |c Provided by publisher.

ISBN: 9781118481950 (electronic bk.)Subjects--Topical Terms:

302752
Chemical process control
--Data processing.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TP155.75 / 2013

Dewey Class. No.: 660.2815

Optimal automated process fault analysis
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245 1 0 $a Optimal automated process fault analysis $h [electronic resource] / $c Richard J. Fickelscherer, Daniel L. Chester.
260 $a Hoboken, New Jersey : $b Wiley, $c 2013.
300 $a 1 online resource (xix, 204 p.) : $b ill.
504 $a Includes bibliographical references and index.
520 $a "Process fault analyzers monitor process operations in order to identify the underlying causes of operational problems. Several diagnostic strategies exist for automating process fault analysis; however, automated fault analysis is still not widely used within the processing industries due to problems of cost and performance as well as the difficulty of modeling process behavior at needed levels of detail. In response, this book presents the method of minimal evidence (MOME), a model-based diagnostic strategy that facilitates the development and implementation of optimal automated process fault analyzers. MOME was created at the University of Delaware by the researchers who developed the FALCON system, a real-time, online process fault analyzer. The authors demonstrate how MOME is used to diagnose single and multiple fault situations, determine the strategic placement of process sensors, and distribute fault analyzers within large processing systems."-- |c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Chemical process control $x Data processing. $3 302752
650 0 $a Fault location (Engineering) $x Data processing. $3 782242
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Chester, Daniel L. $3 782241
710 2 $a Wiley Online Library (Online service) $3 782195
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118481950