Title :
Many-state alarm generation using multiple binary decisions
Author :
Ghetie, M. ; Sauter, D. ; Saif, M.
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Abstract :
An alarm generator is proposed and is to be used at the top level of a hierarchical fault detection and isolation architecture developed in the framework offered by the EUREKA MAINE EU996 DIALOGS project. This alarm generator uses two binary decisions and fuzzifies them to obtain a five-state alarm signal. It then performs a quantitative-qualitative analysis on this alarm signal. The result can either be directly used by a human operator, or by an upper level decision maker which uses causal analysis and qualitative data
Keywords :
alarm systems; decision support systems; diagnostic expert systems; directed graphs; fault diagnosis; fuzzy logic; inference mechanisms; EUREKA MAINE EU996 DIALOGS project; alarm generator; algorithm redundancy; decision support systems; fault detection; fault isolation; five-state alarm signal; fuzzy logic; multiple binary decisions; qualitative reasoning; quantitative analysis; signed directed graphs; Data analysis; Decision support systems; Electronic mail; Fault detection; Fuzzy logic; Humans; Performance analysis; Signal analysis; Signal generators; Signal processing algorithms;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.760740
