LEADER 01436nam0 22003371i 450 001 UON00261060 005 20231205103712.223 010 $a90-272-4130-9 100 $a20050204d1999 |0itac50 ba 101 $aeng 102 $aNL 105 $a|||| ||||| 200 1 $aSlips of the tongue$espeech errors in first and second language production$fNanda Poulisse 210 $aAmsterdam$aPhiladelphia$cBenjamins$d1999 215 $aXII, 266 p.$d23 cm. 410 1$1001UON00176165$12001 $aStudies in Bilingualism$1210 $aAmsterdam$aPhiladelphia$cBenjamins$v20 423 1$1001UON00374630$12001 $aSpeech errors in first and second language production 606 $aBAMBINI$xLinguaggio$3UONC056831$2FI 606 $aLingua$xErrori$3UONC056832$2FI 606 $aLinguaggio$xAcquisizione$3UONC048186$2FI 620 $aUS$dPhiladelphia$3UONL000152 620 $aNL$dAmsterdam$3UONL001817 676 $a401.93$cPsicolinguistica. Acquisizione della lingua.$v21 700 1$aPOULISSE$bNanda$3UONV154621$0533501 712 $aJohn Benjamins Publishing Company$3UONV256739$4650 801 $aIT$bSOL$c20250704$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00261060 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI 36 BIS 0014 $eSI DA 607 5 0014 $sBuono 996 $aSlips of the tongue$9915258 997 $aUNIOR 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