Title :
Instrument Failure Detection in Nonlinear Systems
Author :
Tylee, J.Louis ; Purviance, John E.
Author_Institution :
EG&G Idaho, Inc., P.O. Box 1625, Idaho Falls, Idaho 83415; Department of Electrical Engineering, University of Idaho, Moscow, Idaho 83843
Abstract :
A simple approach to detecting instrument failures in dynamic systems described by nonlinear continuous differential equations is presented and evaluated. The method uses an extended Kalman filter to generate an innovations (or residuals) vector. Threshold crossing checks on the mean and variance of elements in this vector are used to ascertain existence of failure. The approach is demonstrated using data from a nuclear reactor.
Keywords :
Coolants; Filters; Inductors; Instruments; Noise measurement; Nonlinear equations; Nonlinear systems; Reactor instrumentation; Technological innovation; Vectors;
Conference_Titel :
American Control Conference, 1984
Conference_Location :
San Diego, CA, USA
