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Torque Based Selection Of Ann For Fault Diagnosis Of Wound Rotor Asynchronous Motor-Converter Association
2010
Zenodo
In this paper, an automatic system of diagnosis was developed to detect and locate in real time the defects of the wound rotor asynchronous machine associated to electronic converter. For this purpose, we have treated the signals of the measured parameters (current and speed) to use them firstly, as indicating variables of the machine defects under study and, secondly, as inputs to the Artificial Neuron Network (ANN) for their classification in order to detect the defect type in progress. Once
doi:10.5281/zenodo.1085881
fatcat:5vyfnv4gyjdmtfwmi44t2nitga