Title :
Detection of shorted turns in the field winding of turbogenerators using the neural network MLP
Author :
Angelo, Marcos F S V D ; Costa, Pyramo P., Jr.
Author_Institution :
Departamento de Ciencia da Computacao, Montes Claros, Brazil
Abstract :
The work presents a digital prototype for simulation of shorted turns detection system in the field winding of the turbogenerators. In the development of the system, the neural network MLP, trained by backpropagation algorithm, was used to approach the problem of recognition of patterns that characterized shorted turns, in the field winding of the turbogenerators. The patterns of defects were obtained by simulation of turbogenerators. The work also presents a range of values limit of powers for turbogenerators operation, considering the short circuits conditions in field winding
Keywords :
backpropagation; fault location; machine windings; multilayer perceptrons; power engineering computing; short-circuit currents; synchronous generators; turbogenerators; backpropagation algorithm; fault detection; field winding; neural network MLP; short circuits conditions; shorted turns detection system simulation; synchronous machine capability; turbogenerators; Circuits; Costs; Density measurement; Electrical fault detection; Fault detection; Intelligent networks; Neural networks; Position measurement; Stator windings; Turbogenerators;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.973639