國立高雄大學圖資館 |

Language: English

Back

Intelligent industrial alarm systemsadvanced analysis and design methods /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent industrial alarm systemsby Jiandong Wang, Wenkai Hu, Tongwen Chen.
Reminder of title:	advanced analysis and design methods /
Author:	Wang, Jiandong.
other author:	Hu, Wenkai.
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xiv, 425 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Electronic alarm systemsDesign and construction.
Online resource:	https://doi.org/10.1007/978-981-97-6516-4
ISBN:	9789819765164$q(electronic bk.)

Intelligent industrial alarm systemsadvanced analysis and design methods /
Wang, Jiandong.

Intelligent industrial alarm systemsadvanced analysis and design methods /[electronic resource] :by Jiandong Wang, Wenkai Hu, Tongwen Chen. - Singapore :Springer Nature Singapore :2024. - xiv, 425 p. :ill. (chiefly color), digital ;24 cm.

Overview of Industrial Alarm Systems -- Optimal Design of Univariate Alarm Systems -- Optimal Design of Multivariate Alarm Systems -- Root-Cause Analysis of Alarm Events -- Analysis of Industrial Alarm Floods -- Alarm Visual Analytics and Applications.

This book fills a gap in existing literature by providing a comprehensive academic perspective on industrial alarm systems, offering systematic methodologies, practical techniques, and visual analytic tools for engineers to improve system performance and design. Modern industrial plants rely on computerized monitoring systems to track hundreds of process variables in real time, enabling operators to maintain safe and efficient conditions. Automatic industrial alarm systems play a crucial role in alerting operators to abnormalities, such as high vessel levels, that could lead to unsafe conditions if left unaddressed. While contemporary alarm systems can be plagued with issues like nuisance alarms, recent academic research has introduced advanced methodologies, like Markov chain theory and Bayesian estimation, to optimize alarm parameters and enhance system performance. By integrating these theoretical advancements into practical applications, the goal is to develop intelligent industrial alarm systems that leverage historical data and process knowledge to predict and prevent alarm floods, ultimately ensuring safer and more efficient plant operations.

ISBN: 9789819765164$q(electronic bk.)

Standard No.: 10.1007/978-981-97-6516-4doiSubjects--Topical Terms:

985313
Electronic alarm systems
--Design and construction.

LC Class. No.: TH9739

Dewey Class. No.: 621.38928

Intelligent industrial alarm systemsadvanced analysis and design methods /
LDR:02473nmm a2200325 a 4500 001 672079
003 DE-He213
005 20241105115955.0
006 m d
007 cr nn 008maaau
008 250325s2024 si s 0 eng d
020 $a 9789819765164$q(electronic bk.)
020 $a 9789819765157$q(paper)
024 7 $a 10.1007/978-981-97-6516-4 $2 doi
035 $a 978-981-97-6516-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TH9739
072 7 $a TJFM $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 621.38928 $2 23
090 $a TH9739 $b .W246 2024
100 1 $a Wang, Jiandong. $3 985311
245 1 0 $a Intelligent industrial alarm systems $h [electronic resource] : $b advanced analysis and design methods / $c by Jiandong Wang, Wenkai Hu, Tongwen Chen.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xiv, 425 p. : $b ill. (chiefly color), digital ; $c 24 cm.
505 0 $a Overview of Industrial Alarm Systems -- Optimal Design of Univariate Alarm Systems -- Optimal Design of Multivariate Alarm Systems -- Root-Cause Analysis of Alarm Events -- Analysis of Industrial Alarm Floods -- Alarm Visual Analytics and Applications.
520 $a This book fills a gap in existing literature by providing a comprehensive academic perspective on industrial alarm systems, offering systematic methodologies, practical techniques, and visual analytic tools for engineers to improve system performance and design. Modern industrial plants rely on computerized monitoring systems to track hundreds of process variables in real time, enabling operators to maintain safe and efficient conditions. Automatic industrial alarm systems play a crucial role in alerting operators to abnormalities, such as high vessel levels, that could lead to unsafe conditions if left unaddressed. While contemporary alarm systems can be plagued with issues like nuisance alarms, recent academic research has introduced advanced methodologies, like Markov chain theory and Bayesian estimation, to optimize alarm parameters and enhance system performance. By integrating these theoretical advancements into practical applications, the goal is to develop intelligent industrial alarm systems that leverage historical data and process knowledge to predict and prevent alarm floods, ultimately ensuring safer and more efficient plant operations.
650 0 $a Electronic alarm systems $x Design and construction. $3 985313
650 0 $a Industries $x Security measures. $3 220505
650 1 4 $a Control, Robotics, Automation. $3 914981
650 2 4 $a Process Engineering. $3 919005
650 2 4 $a Industrial Automation. $3 919007
700 1 $a Hu, Wenkai. $3 985312
700 1 $a Chen, Tongwen. $3 680455
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-97-6516-4
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)