A data-driven alarm and event management framework

Ahmed, 2013, Similarity analysis of industrial alarm flood data, IEEE Trans. Autom. Sci. Eng., 10, 452, 10.1109/TASE.2012.2230627 2016 Burnell, 1997, Handling of repeating alarms Carrera, 1991, Advanced alarm management in the aware system, 1389 Charbonnier, 2016, Fault template extraction to assist operators during industrial alarm floods, Eng. Appl. Artif. Intell., 50, 32, 10.1016/j.engappai.2015.12.007 Dorgo, 2018, Understanding the importance of process alarms based on the analysis of deep recurrent neural networks trained for fault isolation, J. Chemom., 32, 10.1002/cem.3006 EEMUA-191, 2013, vol. 3 Folmer, 2012, Computing dependent industrial alarms for alarm flood reduction, 1 Fullen, 2017, Defining and validating similarity measures for industrial alarm flood analysis, 781 Goel, 2017, Application of big data analytics in process safety and risk management, 1143 Goel, 2017, Industrial alarm systems: challenges and opportunities, J. Loss Prev. Process. Ind., 50, 23, 10.1016/j.jlp.2017.09.001 Grosdidier, 2003, A path forward for dcs alarm management, Hydrocarb. Process., 82, 59 Higuchi, 2009, Use of event correlation analysis to reduce number of alarms, vol. 27, 1521 Hu, 2018, Detection of frequent alarm patterns in industrial alarm floods using itemset mining methods, IEEE Trans. Ind. Electron., 65, 7290, 10.1109/TIE.2018.2795573 Hu, 2018, Framework for a smart data analytics platform towards process monitoring and alarm management, Comput. Chem. Eng., 114, 225, 10.1016/j.compchemeng.2017.10.010 Jain, 2018, Resilience metrics for improved process-risk decision making: survey, analysis and application, Saf. Sci., 108, 13, 10.1016/j.ssci.2018.04.012 Jain, 2018, Process resilience analysis framework (praf): a systems approach for improved risk and safety management, J. Loss Prev. Process. Ind., 53, 61, 10.1016/j.jlp.2017.08.006 Jain, 2017, Did we learn about risk control since seveso? yes, we surely did, but is it enough? an historical brief and problem analysis, J. Loss Prev. Process. Ind., 49, 5, 10.1016/j.jlp.2016.09.023 Kondaveeti, 2012, Graphical tools for routine assessment of industrial alarm systems, Comput. Chem. Eng., 46, 39, 10.1016/j.compchemeng.2012.06.042 Lai, 2017, Online pattern matching and prediction of incoming alarm floods, J. Process Control, 56, 69, 10.1016/j.jprocont.2017.01.003 Lucke, 2018, vol. 51, 345 Lucke, 2019, Advances in alarm data analysis with a practical application to online alarm flood classification, J. Process Control, 79, 56, 10.1016/j.jprocont.2019.04.010 Mannani, 2019 Mehta, 2014 Niyazmand, 2019, Pattern mining in alarm flood sequences using a modified prefixspan algorithm, ISA Trans., 90, 287, 10.1016/j.isatra.2018.12.050 Pariyani, 2012, Dynamic risk analysis using alarm databases to improve process safety and product quality: Part i–data compaction, AIChE J., 58, 812, 10.1002/aic.12643 R Core Team, 2018 Rossum, 1995, Python tutorial. Technical Report CS-R9526 Rothenberg, 2009 Wang, 2015, A data similarity based analysis to consequential alarms of industrial processes, J. Loss Prev. Process. Ind., 35, 29, 10.1016/j.jlp.2015.03.005 Yang, 2012, Improved correlation analysis and visualization of industrial alarm data, ISA Trans., 51, 499, 10.1016/j.isatra.2012.03.005 Yang, 2013, Detection of correlated alarms based on similarity coefficients of binary data, IEEE Trans. Autom. Sci. Eng., 10, 1014, 10.1109/TASE.2013.2248000