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The results of this paper can be utilized in several ways, as stand-alone fault-tolerant state estimation techniques, as an essential part of fault-tolerant state feedback controller design, as fault-sensitive filters or as a bank of filters for multiple model fault detection and isolation schemes.
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A novel multiple-model fault detection and isolation scheme for non-linear dynamic systems, that of a Neuro-Fuzzy Decoupling Fault Detection Scheme (NFDFDS) is presented, a hybrid scheme incorporating both neuro-fuzzy and model-based methods.
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We propose a complete methodology for the design of a model based fault detection and diagnosis (FDD) system, which allows the reliable early detection of OFC characterized by low amplitude oscillations in a given frequency range.
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