LEADER 00735nam0-2200253 --450 
001 9910711100603321
005 20230519130653.0
010   $a0810465655
100   $a20230519d1986----kmuy0itay5050    ba
101   $aeng
102   $aUS
105   $a        001yy
200 1 $aObject-oriented programming for the Macintosh$fKurt J. Schmucker
210   $ahasbrouck Heights, N.J.$cHayden book$dc1986
215   $aXIV, 608 p.$d24 cm.
676   $a005.265$v22
700  1$aSchmucker,$bKurt J.$0718243
801  0$aIT$bUNINA$gREICAT$2UNIMARC
901   $aBK
912   $a9910711100603321
952   $a005.265-SCH-1$b226/2023$fSC1
959   $aSC1
996   $aObject-oriented programming for the Macintosh$91392570
997   $aUNINA

LEADER 03262nam  22005535  450 
001 9910903794503321
005 20250807145405.0
010   $a981-9765-16-1
024 7 $a10.1007/978-981-97-6516-4
035   $a(CKB)36527797200041
035   $a(DE-He213)978-981-97-6516-4
035   $a(EXLCZ)9936527797200041
100   $a20241105d2024      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aIntelligent Industrial Alarm Systems $eAdvanced Analysis and Design Methods /$fby Jiandong Wang, Wenkai Hu, Tongwen Chen
205   $a1st ed. 2024.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024.
215   $a1 online resource (XIV, 425 p. 244 illus., 208 illus. in color.) 
311 08$a981-9765-15-3 
327   $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.
330   $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.
606   $aAutomatic control
606   $aRobotics
606   $aAutomation
606   $aProduction engineering
606   $aIndustrial engineering
606   $aControl, Robotics, Automation
606   $aProcess Engineering
606   $aIndustrial Automation
615  0$aAutomatic control.
615  0$aRobotics.
615  0$aAutomation.
615  0$aProduction engineering.
615  0$aIndustrial engineering.
615 14$aControl, Robotics, Automation.
615 24$aProcess Engineering.
615 24$aIndustrial Automation.
676   $a629.8
700   $aWang$b Jiandong$4aut$4http://id.loc.gov/vocabulary/relators/aut$01848552
702   $aHu$b Wenkai$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aChen$b Tongwen$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910903794503321
996   $aIntelligent Industrial Alarm Systems$94435674
997   $aUNINA