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Publication Type : Conference Paper
Publisher : nstitute of Electrical and Electronics Engineers Inc.
Source : Proceedings of the 4th International Conference on Electrical Energy Systems, ICEES 2018, Institute of Electrical and Electronics Engineers Inc., p.465-469 (2018)
ISBN : 9781538636954
Keywords : Electric fault currents, Electrical machine, Extended Kalman filters, Failure analysis, Fault detection, Inter-turn fault, Load imbalance, Model based approach, Model-based OPC, Residual signals, Stator inter-turn faults, Stators, synchornous geneator, Synchronous generators
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2018
Abstract : Stator interturn fault diagnosis of electrical machines has been a very intensely researched area. The synchronous generator (SG) is a very important component of a power system and there are only a few works that deal with the model based approach to fault diagnosis of a wound rotor synchronous generator. This work deals with the application of augmented Extended Kalman Filter (EKF) to obtain the residual signal for an SG. This signal contains the signature of the fault and can distinguish an interturn fault from a load imbalance of similar magnitude.
Cite this Research Publication : P. V. Sunil Nag, Kumar, C. S., Dr. Sindhu Thampatty K.C., and Isha, T. B., “A Modified Approach for Application of Augmented Extended Kalman filter for Stator Interturn fault Diagnosis of a Synchronous Generator”, in Proceedings of the 4th International Conference on Electrical Energy Systems, ICEES 2018, 2018, pp. 465-469.