ANN based pattern classification of synchronous generator stability and loss of excitation
โ Scribed by Sharaf, A.M.; Lie, T.T.
- Book ID
- 120983857
- Publisher
- IEEE
- Year
- 1994
- Tongue
- English
- Weight
- 579 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0885-8969
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A novel artificial intelligence based neural network (ANN) global online fault detection, pattern classification, and relaying detection scheme for synchronous generators in interconnected electric utility networks is presented. The input discriminant vector comprises the fast Fourier transform (FFT
Stability and a.c. loss were studied for three kinds of Nb-Ti wire. These wires are strands of 10 kA cables which have been developed for field windings of 70 MW class low excitation superconducting generators. All the wires consist of Nb-Ti/Cu/Cu-Ni; wires B and C are monolithic wires and wire A is