Fault Detection Filter for Nonlinear Systems using Linear Approximations
| Authors: | Navarro Hernandez Claudia, University of Sheffield, United Kingdom
Crusca Francesco, Monash University, Australia
Aldeen Mohammad, University of Melbourne, Australia
Banks Steve, University of Sheffield, United Kingdom |
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| Topic: | 6.4 Safeprocess |
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| Session: | Fault Diagnosis and Fault Tolerant Control: Theory |
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| Keywords: | Fault detection, Filter design, Linear equations, Nonlinear system, Time-varying systems |
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Abstract
In this paper, the design of a fault detection filter for nonlinear systems is presented. The nonlinear system is represented as a sequence of linear time-varying approximations and at each linear approximation the design of an optimal stochastic fault detection filter for linear time-varying systems is applied. The final residual is primarily affected by a target fault and minimally by nuisance faults.
