A correlation consistency based multivariate alarm thresholds optimization approach

Bransby M, Jenkinson J. Alarm management in the chemical and power industries: results of a survey for the HSE. Best practices in alarm management (Digest No. 1998/279), IEE Colloquium on.; 1998, p. 5/1-10. International society of automation, management of alarm systems for the process industries. ANSI/ISA-182-2009; 2009. EEMUA, Alarm systems-a guide to design, management and procurement, 3rd ed; 2013. Izadi I, Shah SL, Shook DS, Kondaveeti SR, Chen T. A framework for optimal design of alarm systems. In: Proceedings of the 7th IFAC symposium on fault detection, supervision and safety of technical processes, Spain; 2009. p. 651–656. Izadi I, Shah S, Shook D, Chen T. An introduction to alarm analysis and design. In: Proceedings of the 7th IFAC symposium on fault detection, supervision and safety of technical processes, Spain, 2009, p. 645–650. Cheng Y, Izadi I, Chen T. On optimal alarm filter design. In: Proceedings of the 2011 International symposium on advanced control of industrial processes, Hangzhou, China; 2011. p.139–145. Cheng, 2013, Optimal alarm signal processing: filter design and performance analysis, IEEE T Autom Sci Eng, 10, 446, 10.1109/TASE.2012.2233472 Adnan NA, Izadi I. On detection delays of filtering in industrial alarm systems. In: Proceedings of mediterranean conference on control and automation, Chania, Greece; 2013. p.113–118. Adnan, 2011, On expected detection delays for alarm systems with deadbands and delay-timers, J Process Control, 21, 1318, 10.1016/j.jprocont.2011.06.019 Adnan, 2013, Study of generalized delay-timers in alarm configuration, J Process Control, 23, 382, 10.1016/j.jprocont.2012.12.013 Zhu, 2014, A dynamic alarm management strategy for chemical process transitions, J Loss Prev Process Ind, 30, 207, 10.1016/j.jlp.2013.07.008 Hao, 2014, Optimization of process alarm thresholds: a multidimensional kernel density estimation approach, Process Saf Prog, 33, 292, 10.1002/prs.11658 Han, 2016, Combining FAP, MAP and correlation analysis for multivariate alarm thresholds optimization in industrial process, J Loss Prev Process Ind, 40, 471, 10.1016/j.jlp.2016.01.022 Yang F, Shah SL, Xiao D. Correlation analysis of alarm data and alarm limit design for industrial processes. In: Proceedings of 2010 American control conference, Baltimore, MD, USA; 2010. p. 5850–5855 Venkatesh, 2015, Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling, J Retail Consum Serv, 26, 153, 10.1016/j.jretconser.2015.06.001 Trivedi, 2015, Analysis of key factors for waste management in humanitarian response: an interpretive structural modelling approach, Int J Disaster Risk Reduct, 14, 527, 10.1016/j.ijdrr.2015.10.006 Jain, 2016, Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach, Int J Prod Econ, 171, 84, 10.1016/j.ijpe.2015.10.024 Geng, 2015, Fault detection of large-scale process control system with higher-order statistical and interpretative structural model, Chin J Chem Eng, 23, 146, 10.1016/j.cjche.2014.10.012 Gao, 2015, Systematic rationalization approach for multivariate correlated alarms based on interpretive structural modeling and Likert scale, Chin J Chem Eng, 23, 1987, 10.1016/j.cjche.2015.11.009 Gao, 2016, Spatial interpretive structural model identification and AHP-based multimodule fusion for alarm root-cause diagnosis in chemical processes, Ind Eng Chem Res, 55, 3641, 10.1021/acs.iecr.5b04268 Xu, 2015, Dynamic multi-swarm particle swarm optimizer with cooperative learning strategy, Appl Soft Comput, 29, 169, 10.1016/j.asoc.2014.12.026 McAvoy, 1994, Base control for the Tennessee Eastman problem, Comput Chem Eng, 18, 383, 10.1016/0098-1354(94)88019-0