Advanced Analysis and Design Methods Wang, Jiandong. creator author. aut http://id.loc.gov/vocabulary/relators/aut Hu, Wenkai. author. aut http://id.loc.gov/vocabulary/relators/aut Chen, Tongwen. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XIV, 425 p. 244 illus., 208 illus. in color. online resource. 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. 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. by Jiandong Wang, Wenkai Hu, Tongwen Chen. Control engineering Robotics Automation Production engineering Industrial engineering Control, Robotics, Automation Process Engineering Industrial Automation TJ212-225 TJ210.2-211.495 9789819765164 https://doi.org/10.1007/978-981-97-6516-4 https://doi.org/10.1007/978-981-97-6516-4 241105 20251030113259.0 978-981-97-6516-4