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This work focuses on fault detection applied to static converters. A new method for estimating parameters of dynamic model of the buck converter is proposed, based on recent algebraic parameters estimators. The diagnosis scheme developed in this paper computes online the filter capacitor aging by determining the equivalent series resistance (ESR). The capacitance and inductance value are also estimated...
The work treats the problem of fault detection for processes described by partial differential equations as that of maximizing the power of a parametric hypothesis test which checks whether or not system parameters have nominal values. A simple node activation strategy is discussed for the design of a sensor network deployed in a spatial domain that is supposed to be used while detecting changes in...
In this paper, a fault tolerant control method based on the parametric estimation is presented and applied to the air path system of a diesel engine. This method uses directly the results of a parametric estimation of the system which is nonlinear and whose state variables and parameters are strongly coupled. Our goal is to adapt an Unconstrained Nonlinear Continuous-time Generalized Predictive Control...
The first step of Model-based FDI technique is to determine at least a model of the system to monitor. This paper deals with an advanced open-loop identification formulation developed for linear stationary dynamical systems, including the model structure estimation. This approach leads to a kind of canonical state-space form, which is characterised by a mixed parameterisation using a Specific Form...
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