TY  - BOOK
AU  - Wang,Jiandong
AU  - Hu,Wenkai
AU  - Chen,Tongwen
ED  - SpringerLink (Online service)
TI  - Intelligent Industrial Alarm Systems: Advanced Analysis and Design Methods 
SN  - 9789819765164
AV  - TJ212-225 
U1  - 629.8 23
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Control engineering
KW  - Robotics
KW  - Automation
KW  - Production engineering
KW  - Industrial engineering
KW  - Control, Robotics, Automation
KW  - Process Engineering
KW  - Industrial Automation
N1  - 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-6516-4
ER  -