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This paper presents a robust fault detection and diagnosis (FDD) scheme for abrupt and incipient faults in a class of nonlinear dynamic systems. A nonlinear observer which synthesizes second order sliding mode techniques and wavelet networks is proposed for online monitoring. The second order sliding mode is designed to eliminate the effect of system uncertainties on the state observation. Moreover,...
This paper presents a novel observer-based robust process fault detection and diagnosis (FDD) scheme in a class of nonlinear dynamic systems. The proposed observer synthesis sliding mode techniques and PID-type iterative learning estimators. The observer inputs, which are designed to isolate and estimate faults, are iteratively computed using the proportional, integral, and derivative information...
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