INSTRUMENT FAILURE DETECTION IN NONLINEAR SYSTEMS.

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.