Title :
Fault diagnosis using balance equations methods and the algorithmic redundancy approach
Author :
Ghetie, M. ; Noura, H. ; Saif, M.
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Abstract :
The fault diagnosis method presented in this paper represents the main part of a hierarchical decision support system (DSS) which was developed in the framework offered by the EUREKA MAINE EU996 DIALOGS project. The method illustrates the algorithmic redundancy concept using in parallel two FDI methods based on balance equations. The first method uses standardized unbalanced residuals for fault detection, and structural analysis for fault isolation. The second method uses standardized least-squares residuals for fault detection and isolation
Keywords :
decision support systems; fault diagnosis; least squares approximations; redundancy; DSS; EUREKA MAINE EU996 DIALOGS project; FDI methods; algorithmic redundancy approach; algorithmic redundancy concept; balance equations methods; fault detection; fault diagnosis; fault isolation; hierarchical decision support system; standardized least-squares residuals; standardized unbalanced residuals; structural analysis; Algorithm design and analysis; Chemical analysis; Chemical industry; Decision making; Equations; Fault detection; Fault diagnosis; Information analysis; Power system modeling; Redundancy;
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.1998.760742
