Guillermo R. Bossio

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Broken rotor bars in induction motors can be dependably detected by analyzing the current signatures under sufficient motor load conditions. Detection becomes less dependable under light motor load conditions. There are also cases in which tolerable motor operating conditions generate current signatures similar to those of motors with broken rotor bars.(More)
A new nonlinear reduced-order observer to estimate the rotor speed and position for permanent-magnet motors, with arbitrary electromotive force (EMF) waveform, is presented. The proposed observer is suitable for the realization of a torque control with minimum torque ripple. In order to implement the observer, the EMF generated by the motor is first(More)
Hybrid electric vehicles (HEV) are those equipped with two or more energy sources, usually, a fuel tank with its associated internal combustion engine (ICE) and an electrical storage system (ESS), typically a bank of batteries. In order to efficiently operate the system it is necessary to determine the instantaneous power split between the two sources when(More)
In this paper, the analysis and validation of a dynamic model for Permanent Magnet Synchronous Machines (PMSMs) with stator faults is presented. A proper dynamic model including stator faults is required in order to propose and validate model-based fault detection strategies. Unlike other models which include a stator fault in one of the phase windings, we(More)
A scheme for diagnosis and identification of mechanical unbalances and shaft misalignment on machines driven by induction motors is presented in this work. Fault identification is performed using unsupervised artificial neural networks: the so-called Self-Organizing Maps (SOM). The information of the motor phase current is used for feeding the network, in(More)