國立虎尾科技大學 |

Monitoring Multimode Continuous Processes = A Data-Driven Approach /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Monitoring Multimode Continuous Processes/ by Marcos Quiñones-Grueiro, Orestes Llanes-Santiago, Antônio José Silva Neto.
其他題名:	A Data-Driven Approach /
作者:	Quiñones-Grueiro, Marcos.
其他作者:	Silva Neto, Antônio José.
面頁冊數:	XX, 153 p. 61 illus., 56 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Engineering Mathematics. -
電子資源:	https://doi.org/10.1007/978-3-030-54738-7
ISBN:	9783030547387

Monitoring Multimode Continuous Processes = A Data-Driven Approach /
Quiñones-Grueiro, Marcos.

Monitoring Multimode Continuous ProcessesA Data-Driven Approach /[electronic resource] :by Marcos Quiñones-Grueiro, Orestes Llanes-Santiago, Antônio José Silva Neto. - 1st ed. 2021. - XX, 153 p. 61 illus., 56 illus. in color.online resource. - Studies in Systems, Decision and Control,3092198-4190 ;. - Studies in Systems, Decision and Control,27.

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:

1203947
Engineering Mathematics.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Monitoring Multimode Continuous Processes = A Data-Driven Approach /
LDR:02176nam a22004095i 4500 001 1047122
003 DE-He213
005 20211014212452.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030547387 $9 978-3-030-54738-7
024 7 $a 10.1007/978-3-030-54738-7 $2 doi
035 $a 978-3-030-54738-7
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Quiñones-Grueiro, Marcos. $e author. $0 (orcid)0000-0001-5391-6774 $1 https://orcid.org/0000-0001-5391-6774 $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1350774
245 1 0 $a Monitoring Multimode Continuous Processes $h [electronic resource] : $b A Data-Driven Approach / $c by Marcos Quiñones-Grueiro, Orestes Llanes-Santiago, Antônio José Silva Neto.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XX, 153 p. 61 illus., 56 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Systems, Decision and Control, $x 2198-4190 ; $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 2 4 $a Engineering Mathematics. $3 1203947
650 2 4 $a Data Engineering. $3 1226308
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Engineering mathematics. $3 562757
650 0 $a Engineering—Data processing. $3 1297966
650 0 $a Computational intelligence. $3 568984
700 1 $a Silva Neto, Antônio José. $e editor. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1301357
700 1 $a Llanes-Santiago, Orestes. $e author. $1 https://orcid.org/0000-0002-6864-9629 $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1350775
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030547370
776 0 8 $i Printed edition: $z 9783030547394
776 0 8 $i Printed edition: $z 9783030547400
830 0 $a Studies in Systems, Decision and Control, $x 2198-4182 ; $v 27 $3 1254124
856 4 0 $u https://doi.org/10.1007/978-3-030-54738-7
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)