Detection of shorted turns in the field winding of turbogenerators using the neural network MLP

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

Volumn 3, Issue , 2001, Pages 1930-1935

  D’Angelo, Marcos F S V ^a,b   Costa, Pyramo P ^a,b  

^a UNIMONTES   (Brazil)

^b PONTIFICAL CATHOLIC UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

Fault detection in field winding; Neural networks; Turbogenerator

Indexed keywords

ALGORITHMS; BACKPROPAGATION; COMPUTER SIMULATION; ELECTRIC FAULT LOCATION; ELECTRIC WINDINGS; NEURAL NETWORKS; PATTERN RECOGNITION;

FIELD WINDINGS;

TURBOGENERATORS;

EID: 0035722915     PISSN: 08843627     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICSMC.2001.973639     Document Type: Article

References (14)

1. Interturn short-circuit detector for turbine-generator rotor windings
2. A New principle for synchronous machine protection from rotor winding inter-turn and double earth faults
3. Electric power applications of fuzzy systems: Detection and localization of shorted turns in the DC field winding of turbine-generator rotors using novelty detection and fuzzified neural networks
4. Robust fault detection filter desing
5. ∞ bounded fault detection filter
6. Optimal stochastic fault detection filter
7. Exact, almost and delayed fault detection Na observer based approach