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The authors propose a new diagnosis method for on-line broken bars detection by parameters estimation. For predictive detection, Kalman filtering algorithm has been adapted to take into account the on-line parameters deviations in faulty case. Within the framework of the diagnosis of the rotor defects, it is difficult to conduct experimental tests to validate the on-line identification of such default...
In this paper, the authors propose a new modeling approach to describe a squirrel cage induction machine using object oriented methodology. Our goal is to provide a simulation kernel that generates automatically electrical parameters matrices (resistance, inductance and mutuals matrix). This approach is mainly based on decomposing the induction motor into elementary objects that abstract real world...
In this paper, authors proposes a new monitoring technique of inter turns short circuit windings under fixed speed. This method is based on introduction of sinusoidal extra-signals to input voltage delivered by power inverter. For diagnosis, we proposed model of squirrel cage induction motors under stator faults. This model takes into account the effects of inter turn faults resulting in the shorting...
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