An on-line fault detection scheme for systems with known nonlinear state-space models

Abstract

In this paper, a simple scheme for the detection of faults and changes in operating point for processes with well-known nonlinear state-space model will be described. The emphasis will be in the solution of practical problems. A linearized Kalman filter, the statistical t-Test and some decision rules are utilized in the scheme, which is validated in the case of a practical application to a laboratory turbo-generator.

Adaptive multivariable state-space receding horizon control of a turbo-generator pilot plant

“…The non-linear differential equations for the turbo-generator were given by [9]. From these equations, the non-minimum phase behaviour for the transfer between the exitation current i, and the frequency f as well as the coupling between different variables can be found.…”