Abstract:
This paper describes the laboratory implementation and real-time test results of a new neural network (NN) based digital differential relay used for detecting faults and ...Show MoreMetadata
Abstract:
This paper describes the laboratory implementation and real-time test results of a new neural network (NN) based digital differential relay used for detecting faults and classifying internal faults in the stator winding of synchronous generators. Details of the software written to enable the operation of the relay are described. Behavior of the NN based relay is observed and the experimental results are presented.
Published in: IEEE Transactions on Power Delivery ( Volume: 15, Issue: 1, January 2000)
DOI: 10.1109/61.847232
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Cites in Papers - |
Cites in Papers - IEEE (4)
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1.
Ashish Doorwar, Bhavesh R. Bhalja, Om P. Malik, "Novel Approach for Synchronous Generator Protection Using New Differential Component", IEEE Transactions on Energy Conversion, vol.38, no.1, pp.180-191, 2023.
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Cites in Papers - Other Publishers (4)
1.
Vidyasagar Boorgula, S. S. Tulasi Ram, "Incipient Fault Diagnosis in Stator Winding of Synchronous Generator: A CMFFLC Technique", IETE Journal of Research, vol.65, no.5, pp.667, 2019.
2.
Adriano P. de Morais, Arturo S. Bretas, Sukumar Brahma, Ghendy Cardoso, "High-sensitivity stator fault protection for synchronous generators: A time-domain approach based on mathematical morphology", International Journal of Electrical Power & Energy Systems, vol.99, pp.419, 2018.
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Nilesh G. Chothani, "Development and Testing of a New Modified Discrete Fourier Transform-based Algorithm for the Protection of Synchronous Generator", Electric Power Components and Systems, vol.44, no.14, pp.1564, 2016.
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