Fault diagnosis using algorithmic redundancy

Article type: Research Article

Authors: Ghetie, M. | Sauter, D. | Noura, H. | Saif, M.^;

Affiliations: School of Engineering Science, Simon Fraser University, 8888 University Drive, Burnaby, B.C., Canada V5A 1S6 E‐mail: ghetie@cs.sfu.ca | Research Center of Automatic Control of Nancy, Henri Poincaré University, Nancy 1, BP 239, F‐54506 Vandœuvre‐lés‐Nancy, Cedex, France E‐mail: {sauter,noura}@cran.u‐nancy.fr | School of Engineering Science, Simon Fraser University, 8888 University Drive, Burnaby, B.C., Canada V5A 1S6 E‐mail: saif@cs.sfu.ca

Note: [] Corresponding author. Tel.: +1 604 291 3119; Fax: +1 604 291 4951; E‐mail: saif@cs.sfu.ca.

Abstract: This paper introduces the concept of algorithmic redundancy used in fault diagnosis. Its implementation is illustrated with three examples: a statistical limit checking test, a fault detection and isolation method based on balance equations, and a fuzzy alarm generator. These three methods are integrated in a hierarchical diagnostic architecture that is used to validate the concept with simulation results.

Journal: Journal of Intelligent and Fuzzy Systems, vol. 8, no. 3, pp. 201-220, 2000