Title :
Correlation analysis of alarm data and alarm limit design for industrial processes
Author :
Fan Yang ; Shah, S.L. ; Deyun Xiao
Author_Institution :
Dept. of Thermal Eng., Tsinghua Univ., Beijing, China
fDate :
June 30 2010-July 2 2010
Abstract :
The object of alarm rationalization is to check if alarms are set correctly with respect to high and low limits and also to ensure that critical alarms are not missed and that there are as few false alarms as possible. This paper outlines a procedure based on the similarity of correlation maps of physical process variables and their alarm history in combination with process connectivity information through causal maps to suggest optimal alarm settings. The process of correlation analysis clearly takes into account the multivariate nature of the process and thereby reduces the number of false and missed alarms.
Keywords :
alarm systems; manufacturing processes; alarm data; alarm limit design; alarm rationalization; causal maps; correlation analysis; industrial processes; optimal alarm settings; process connectivity information; Alarm systems; Color; Computerized monitoring; Data analysis; Data visualization; Detectors; Industrial control; Industrial relations; Process design; USA Councils;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5530508