03366nam a22005295i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001400172050002000186072001700206072002300223072001600246100008400262245015000346250001800496264007200514300006700586336002600653337002600679338003600705347002400741505025700765520117201022650002502194650002102219650002302240650002802263650002802291650003502319650002502354650003402379700008002413700008302493710003402576773002602610776003602636776003602672776003602708856004602744912001402790912001502804999001702819978-981-97-6516-4DE-He21320251030113259.0cr nn 008mamaa241105s2024    si |    s    |||| 0|eng d  a97898197651649978-981-97-6516-47 a10.1007/978-981-97-6516-42doi 4aTJ212-225 4aTJ210.2-211.495 7aTJFM2bicssc 7aTEC0070002bisacsh 7aTJFM2thema1 aWang, Jiandong.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut98705710aIntelligent Industrial Alarm Systemsh[electronic resource] :bAdvanced Analysis and Design Methods /cby Jiandong Wang, Wenkai Hu, Tongwen Chen.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXIV, 425 p. 244 illus., 208 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aOverview 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.  aThis 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. 0aControl engineering. 0aRobotics.959148 0aAutomation.959149 0aProduction engineering. 0aIndustrial engineering.14aControl, Robotics, Automation.24aProcess Engineering.24aIndustrial Automation.9665851 aHu, Wenkai.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9870581 aChen, Tongwen.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9870592 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981976515708iPrinted edition:z978981976517108iPrinted edition:z978981976518840uhttps://doi.org/10.1007/978-981-97-6516-4  aZDB-2-INR  aZDB-2-SXIT  c64728d64728