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This paper presents the use of ANN as a pattern classifier for differential protection of power transformer, which makes the discrimination among normal, magnetizing inrush, over-excitation, external fault and internal fault currents. This scheme has been realized through two ANN architectures, which are designed and trained using feed forward back propagation algorithm with experimental data and...
This paper discusses the application of MFNN for the protection of turbogenerator against internal faults in any winding of the stator. The network has been used as pattern classifier for detection, identification and classification of the internal faults. The full cycle data of simulated fault currents in the phases and their parallel paths have been used for training and testing of proposed neural...
After restructuring & reformation of Power Utility Sector in India through enactment of Electricity Act 2003, the Power Distribution Utilities are facing tremendous challenges to comply regulatory norms as the distribution networks of Indian Power Utility have grown more than double in size and complexity in the last 10-15 years. It has resulted in increase in volume of workload and the inefficiency...
Capacitive crosstalk can slowdown transitions which can propagate to outputs and cause erroneous operation. Test generation methods such as XGEN and XGEN-E were proposed to generate tests for such failures. However, a drawback of these test generation methods is that a large proportion of faults are aborted. In this paper, we systematically derive a multi-valued algebra. We first show that a composite...
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