東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Optimal automated process fault analysis

Fickelscherer, Richard J.

Linked to FindBook

Google Book

Amazon

博客來

Optimal automated process fault analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimal automated process fault analysis/ Richard J. Fickelscherer, Daniel L. Chester.
Author:	Fickelscherer, Richard J.
other author:	Chester, Daniel L.
Published:	Hoboken, New Jersey :Wiley, : 2013.,
Description:	1 online resource (xix, 204 p.) :ill.
Subject:	Chemical process control - Data processing. -
Online resource:	http://onlinelibrary.wiley.com/book/10.1002/9781118481950
ISBN:	9781118481950

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: 9781118481950Subjects--Topical Terms:

729300
Chemical process control
--Data processing.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TP155.75 .F527 2013

Dewey Class. No.: 660.2815

Optimal automated process fault analysis
LDR:01914cmm a2200265 a 4500 001 2098172
006 m o d
007 cr |n|
008 171231s2013 nyua ob 001 0 eng d
020 $a 9781118481950 $q (electronic bk.)
020 $a 111848195X $q (electronic bk.)
020 $a 9781118372319
020 $a 111837231X
035 $a (OCoLC)823726462
035 $a Wly17000407
040 $a EBLCP $b eng $c EBLCP $d OCLCQ $d DG1
041 0 $a eng
050 4 $a TP155.75 .F527 2013
082 0 4 $a 660.2815 $2 23
100 1 $a Fickelscherer, Richard J. $3 3237795
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 729300
650 0 $a Fault location (Engineering) $x Data processing. $3 3237797
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Chester, Daniel L. $3 3237796
710 2 $a Wiley Online Library (Online service) $3 2112434
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118481950