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Statistical monitoring of complex mu...

Kruger, Uwe.

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Statistical monitoring of complex multivariate processes = with applications in industrial process control /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical monitoring of complex multivariate processes/ Uwe Kruger and Lei Xie.
Reminder of title:	with applications in industrial process control /
Author:	Kruger, Uwe.
other author:	Xie, Lei.
Published:	Chichester, West Sussex, U.K. :Wiley, : 2012.,
Description:	1 online resource (xxix, 437 p.) :ill.
Subject:	Multivariate analysis. -
Online resource:	http://onlinelibrary.wiley.com/book/10.1002/9780470517253
ISBN:	9780470517253 (electronic bk.)

Statistical monitoring of complex multivariate processes = with applications in industrial process control /
Kruger, Uwe.

Statistical monitoring of complex multivariate processeswith applications in industrial process control /[electronic resource] :Uwe Kruger and Lei Xie. - Chichester, West Sussex, U.K. :Wiley,2012. - 1 online resource (xxix, 437 p.) :ill. - Statistics in practice. - Statistics in practice..

Includes bibliographical references and index.

"The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas, for example mechanical and manufacturing, chemical, electrical and electronic, and power engineering. The recipe for the tremendous interest in multivariate statistical techniques lies in its simplicity and adaptability for developing monitoring applications. In contrast, competitive model, signal or knowledge based techniques showed their potential only whenever cost-benefit economics have justified the required effort in developing applications. Statistical Monitoring of Complex Multivariate Processes presents recent advances in statistics based process monitoring, explaining how these processes can now be used in areas such as mechanical and manufacturing engineering for example, in addition to the traditional chemical industry."--

ISBN: 9780470517253 (electronic bk.)

Standard No.: 9786613862228

LCCN: 2012023036Subjects--Topical Terms:

517467
Multivariate analysis.

LC Class. No.: QA278 / .K725 2012

Dewey Class. No.: 519.5/35

Statistical monitoring of complex multivariate processes = with applications in industrial process control /
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020 $a 1118381262 (electronic bk.)
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050 1 4 $a QA278 $b .K725 2012
082 0 0 $a 519.5/35 $2 23
100 1 $a Kruger, Uwe. $3 2148242
245 1 0 $a Statistical monitoring of complex multivariate processes $h [electronic resource] : $b with applications in industrial process control / $c Uwe Kruger and Lei Xie.
260 $a Chichester, West Sussex, U.K. : $b Wiley, $c 2012.
300 $a 1 online resource (xxix, 437 p.) : $b ill.
490 1 $a Statistics in practice
504 $a Includes bibliographical references and index.
520 $a "The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas, for example mechanical and manufacturing, chemical, electrical and electronic, and power engineering. The recipe for the tremendous interest in multivariate statistical techniques lies in its simplicity and adaptability for developing monitoring applications. In contrast, competitive model, signal or knowledge based techniques showed their potential only whenever cost-benefit economics have justified the required effort in developing applications. Statistical Monitoring of Complex Multivariate Processes presents recent advances in statistics based process monitoring, explaining how these processes can now be used in areas such as mechanical and manufacturing engineering for example, in addition to the traditional chemical industry."-- $c Provided by publisher.
588 $a Description based on online resource; title from digital title page (viewed on Oct. 30, 2012).
650 0 $a Multivariate analysis. $3 517467
700 1 $a Xie, Lei. $3 1899921
830 0 $a Statistics in practice. $3 1248074
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9780470517253