Abstract
| In this paper, the results of the monitoring and diagnosis system based on the analytical methods of the auxiliary ventilation service of the electric locomotive which is supplied from the static converter are presented. Because of the complexity of the electric locomotive structure and of the big number of components, a large number of the parameters must be monitored and detected the range of variation of their imposed values. Consequently, a large variety of monitoring and diagnosis procedures have been developed. In literature in the field, the many advanced fault diagnosis methods were presented. Using the analytical method, the analytical model of the static converter was developed using the Matlab Simulink. Starting from the model of the static converter, three types of the faults were simulated: losing inverter supply, interrupting of the inverter output phase and biphasic shortcircuit at inverter output. For all three types of mentioned faults, the waveforms of motor speed, electromagnetic torque and electric currents have been registered. These waveforms were compared with those corresponding to the normal operation regime. The impact of the type of fault on the waveforms was pointed out. The results were analyzed based on the evolution of the motor parameters in the normal and abnormal operating regime. |
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