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Intelligent industrial alarm systems = advanced analysis and design methods /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent industrial alarm systems/ by 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.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Electronic alarm systems - Design and construction. -
Online resource:	https://doi.org/10.1007/978-981-97-6516-4
ISBN:	9789819765164

Intelligent industrial alarm systems = advanced 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

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

3734780
Electronic alarm systems
--Design and construction.

LC Class. No.: TH9739

Dewey Class. No.: 621.38928

Intelligent industrial alarm systems = advanced analysis and design methods /
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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.
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650 0 $a Industries $x Security measures. $3 602292
650 1 4 $a Control, Robotics, Automation. $3 3592500
650 2 4 $a Process Engineering. $3 3591945
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700 1 $a Chen, Tongwen. $3 2062759
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