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Monitoring multimode continuous proc...

Quinones-Grueiro, Marcos.

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Monitoring multimode continuous processes = a data-driven approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Monitoring multimode continuous processes/ by Marcos Quinones-Grueiro, Orestes Llanes-Santiago, Antonio Jose Silva Neto.
Reminder of title:	a data-driven approach /
Author:	Quinones-Grueiro, Marcos.
other author:	Llanes-Santiago, Orestes.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xx, 153 p. :ill., digital ;24 cm.
[NT 15003449]:	Data-driven Fault Diagnosis -- Multimode Continuous Processes -- Multimode Continuous Processes Clustering -- Multimode Continuous Processes Monitoring.
Contained By:	Springer Nature eBook
Subject:	Fault location (Engineering) -
Online resource:	https://doi.org/10.1007/978-3-030-54738-7
ISBN:	9783030547387

Monitoring multimode continuous processes = a data-driven approach /
Quinones-Grueiro, Marcos.

Monitoring multimode continuous processesa data-driven approach /[electronic resource] :by Marcos Quinones-Grueiro, Orestes Llanes-Santiago, Antonio Jose Silva Neto. - Cham :Springer International Publishing :2021. - xx, 153 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.3092198-4182 ;. - Studies in systems, decision and control ;v.309..

Data-driven Fault Diagnosis -- Multimode Continuous Processes -- Multimode Continuous Processes Clustering -- Multimode Continuous Processes Monitoring.

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.

ISBN: 9783030547387

Standard No.: 10.1007/978-3-030-54738-7doiSubjects--Topical Terms:

649702
Fault location (Engineering)

LC Class. No.: TA169.6 / .Q85 2021

Dewey Class. No.: 620.0044

Monitoring multimode continuous processes = a data-driven approach /
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100 1 $a Quinones-Grueiro, Marcos. $3 3486278
245 1 0 $a Monitoring multimode continuous processes $h [electronic resource] : $b a data-driven approach / $c by Marcos Quinones-Grueiro, Orestes Llanes-Santiago, Antonio Jose Silva Neto.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xx, 153 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.309
505 0 $a Data-driven Fault Diagnosis -- Multimode Continuous Processes -- Multimode Continuous Processes Clustering -- Multimode Continuous Processes Monitoring.
520 $a This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.
650 0 $a Fault location (Engineering) $3 649702
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Data Engineering. $3 3409361
650 2 4 $a Engineering Mathematics. $3 3301900
700 1 $a Llanes-Santiago, Orestes. $3 3486279
700 1 $a Silva Neto, Antonio Jose. $3 3381720
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a Studies in systems, decision and control ; $v v.309. $3 3486280
856 4 0 $u https://doi.org/10.1007/978-3-030-54738-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)