Publication Type:

Conference Paper

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

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053517761&doi=10.1109%2fICEES.2018.8442354&partnerID=40&md5=36e722fd9e52b3c16ae46fd8762e7d9a

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

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.

Notes:

cited By 0; Conference of 4th International Conference on Electrical Energy Systems, ICEES 2018 ; Conference Date: 7 February 2018 Through 9 February 2018; Conference Code:138943

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.