國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Monitoring multimode continuous proc...

Llanes-Santiago, Orestes.

Monitoring multimode continuous processesa data-driven approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Monitoring multimode continuous processesby Marcos Quinones-Grueiro, Orestes Llanes-Santiago, Antonio Jose Silva Neto.
其他題名:	a data-driven approach /
作者:	Quinones-Grueiro, Marcos.
其他作者:	Llanes-Santiago, Orestes.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xx, 153 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Fault location (Engineering)
電子資源:	https://doi.org/10.1007/978-3-030-54738-7
ISBN:	9783030547387$q(electronic bk.)

Monitoring multimode continuous processesa 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.3..

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$q(electronic bk.)

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

266155
Fault location (Engineering)

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

Dewey Class. No.: 620.0044

Monitoring multimode continuous processesa data-driven approach /
LDR:01790nmm a2200337 a 4500 001 595096
003 DE-He213
005 20200804134455.0
006 m d
007 cr nn 008maaau
008 211005s2021 sz s 0 eng d
020 $a 9783030547387$q(electronic bk.)
020 $a 9783030547370$q(paper)
024 7 $a 10.1007/978-3-030-54738-7 $2 doi
035 $a 978-3-030-54738-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TA169.6 $b .Q85 2021
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 620.0044 $2 23
090 $a TA169.6 $b .Q7 2021
100 1 $a Quinones-Grueiro, Marcos. $3 887222
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 266155
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Engineering. $3 839346
650 2 4 $a Engineering Mathematics. $3 806481
700 1 $a Llanes-Santiago, Orestes. $3 887223
700 1 $a Silva Neto, Antonio Jose. $3 833251
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Studies in systems, decision and control ; $v v.3. $3 678532
856 4 0 $u https://doi.org/10.1007/978-3-030-54738-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)