Fault detection and classification using Deep Neural network

May 2024
Vol-10, Issue-3
Paper ID: 23645
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Electrical Engineering
Keywords
Matlab software Deep neural network Faults Methodology Algorithms
Abstract
Fault detection and classification using deep neural networks. The three phase currents and voltages of one end are taken as inputs in the proposed scheme. The feed forward neural network along with back propagation algorithm has been employed for detection and classification of the fault for analysis of each of the three phases involved in the process. A detailed analysis with varying number of hidden layers has been performed to validate the choice of the neural network. The simulation results concluded that the present method based on the neural network Efficient in detecting and classifying the faults on transmission lines with satisfactory Performance. The different faults are simulated with different parameters to check the versatility of the method. The proposed method can be extended to the Distribution network of the Power System. Various simulations and analysis of signals are done in the MATLAB environment.

Author Information

# Name Institute / Affiliation
1 B.V. Vasantha Rao, M.Tech[asst professor] R.V.R AND J.C. COLLEGE OF ENGINEERING
2 G.Tharun Kumar[B.Tech] R.V.R AND J.C. COLLEGE OF ENGINEERING
3 A.Tejeswara Rao[B.Tech] R.V.R AND J.C. COLLEGE OF ENGINEERING
4 G.Ramya[B.Tech] R.V.R AND J.C. COLLEGE OF ENGINEERING
5 G.Prasanna Lakshmi[B.Tech] R.V.R AND J.C. COLLEGE OF ENGINEERING

How to Cite

Use the following formats to cite this article in your research.

APA Style
professor], B.V. Vasantha Rao, M.Tech[asst, Kumar[B.Tech], G.Tharun, Rao[B.Tech], A.Tejeswara, G.Ramya[B.Tech], & Lakshmi[B.Tech], G.Prasanna (2024). Fault detection and classification using Deep Neural network. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 352-363.
MLA Style
professor], B.V. Vasantha Rao, M.Tech[asst, et al. "Fault detection and classification using Deep Neural network." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 352-363.
IEEE Style
B.V. Vasantha Rao, M.Tech[asst professor], G.Tharun Kumar[B.Tech], A.Tejeswara Rao[B.Tech], G.Ramya[B.Tech], and G.Prasanna Lakshmi[B.Tech], "Fault detection and classification using Deep Neural network," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 352-363, 2024.
Vancouver Style
professor] B.V. Vasantha Rao, M.Tech[asst, Kumar[B.Tech] G.Tharun, Rao[B.Tech] A.Tejeswara, G.Ramya[B.Tech], Lakshmi[B.Tech] G.Prasanna. Fault detection and classification using Deep Neural network. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):352-363.
Harvard Style
professor], B.V. Vasantha Rao, M.Tech[asst, Kumar[B.Tech], G.Tharun, Rao[B.Tech], A.Tejeswara, G.Ramya[B.Tech], & Lakshmi[B.Tech], G.Prasanna (2024) 'Fault detection and classification using Deep Neural network', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 352-363.
Chicago Style
professor], B.V. Vasantha Rao, M.Tech[asst, et al. "Fault detection and classification using Deep Neural network." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 352-363.
Turabian Style
professor], B.V. Vasantha Rao, M.Tech[asst, et al. "Fault detection and classification using Deep Neural network." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 352-363.

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