Abstract
A novel technique for fault detection and classification in the synchronous generator is proposed. In this paper, a new statistical method based on independent component analysis is presented. The proposed fault detection scheme identifies external and internal faults of synchronous generator. This characterization of fault transients will aid in the development of a protection relay for synchronous generator and the proposed method is effective in detecting faults and has great potential in power engineering applications.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
IEEE Power Engineering Education Committee: IEEE Tutorial on the Protection of Synchronous generators (1995)
Bo, Z.Q., Wang, G.S., Wang, P.Y., Weller, G.: Non-Differential Protection of Geneartor using Fuzzy Neural Networks. In: International Conference on Power System Technology, pp. 1072–1076 (1998)
Megahed, A.I., Mallik, O.P.: An Artificial Neural Network Based Digital Differential Protection Scheme for Synchronous Generator Stator Winding Protection. IEEE Transaction on Power Delivery 14(1), 86–91 (1999)
Gaffor, S.A., Ramana Rao, P.V.: A New Wavelet Based Ground Fault Protection Scheme for Turbo Generators. In: Second International Conference on Industrial and Information Systems, Sri Lanka, pp. 353–355 (2007)
Taalab, A.I., Dawarish, H.A., Kawady, T.A.: ANN – Based Novel Fault Detector for Generator Windings Protection. IEEE Transaction on Power Delivery 14(3), 824–830 (1999)
Bingham, E., Hyvarinen, A.: A fast Fixed-Point Algorithm For Independent Component Analysis of Complex valued Signals. International Journal of Neural Systems 10(1), 1–8 (2000)
Shi, Z., Tang, H., Yiyuan: A fixed – point algorithm for complexity pursuit. International Journal of Neural Computing, 529–536 (2005)
MATLAB Documentation – Wavelet Tool Box, Ver. 7, The Mathworks Inc., Natick, MA (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yadaiah, N., Ravi, N. (2013). Fault Detection in Synchronous Generators Based on Independent Component Analysis. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Advances in Intelligent Systems and Computing, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35314-7_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-35314-7_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35313-0
Online ISBN: 978-3-642-35314-7
eBook Packages: EngineeringEngineering (R0)