Diego Raúl Cadavid

Diagnostico de Fallas en Motores de Inducción Mediante la Aplicación de Redes Neuronales Artificiales

A new algorithm to diagnose inter-turn faults in induction motors based on Artificial Neural Networks (ANN) is presented in this work. A machine model able to simulate internal faults under different load conditions and voltage unbalance was implemented and tested, in order to generate the training patterns of the ANN. An electrical network analyzer and a digital signal processor (DSP) are used to show the implementation of the method. Experimental results in a 2 HP and 3 HP induction motors show the robustness of the algorithm allowing detecting incipient faults and its implementation feasibility in industrial plants.

Fault diagnosis in induction motors fed by PWM inverters

Motors have become critical components for many industries. A motor failure can result in the shutdown of a production line, or require that redundant equipment be utilised to circumvent the problem. By this way, the early detection of motor deterioration can increase plant availability and safety in an economical way. Many publications have investigated the detection of rotor and stator winding failures in electrical machines; however, there is more limited research on fault diagnosis in induction motors fed by PWM converters. This paper proposes a method, based on spectral estimation to diagnosis stator winding faults in induction motors fed by PWM converters. Simulation and experimental results are employed to validate the method. Further, a 5 hp and 3 hp, 230V induction motors with internal tapings from the stator windings are specially constructed. The motors are powered by a PWM converter and different fault conditions are investigated.

Análisis de los Flujos de Potencia de Sistemas Eléctricos y su Interpretación Física

In this paper, the instantaneous power theory of the Institute of Electrical and Electronics Engineers (IEEE, Std. 1459 of 2010) used for single-phase electric systems is expanded to threephase electric systems. A general instantaneous power expression is obtained through instantaneous voltages and currents. This expression is useful to explain the phenomena in electrical systems. This expression is also verified through experimental tests relating power flow and its causes. There are numerous instantaneous power expression reported in the literature, but these expressions do not relate physically and mathematically the electrical phenomena and its causes. For this reason, it is proposed to use the instantaneous power theory to explain physical phenomena in electrical systems contributing with a power theory that can be simultaneity used for measuring or monitoring to revenue purposes, for evaluating the power quality, for designing active filters, and for detecting sources of harmonic distortion.