Fault Diagnosis of Transmission Line using Feed Forward Neural Network
Aditya Biswas1, D. Malathi2
1Aditya Biswas, M.Tech Student, Department Of Computer Science and Engineering, S.R.M Institute Of Science And Technology, Kattankulathur Campus, Kancheepuram, Tamil Nadu, India.
2D. Malathi, Proffessor, Department Of Computer Science and Engineering, S.R.M Institute Of Science And Technology, Kattankulathur Campus, Kancheepuram, Tamil Nadu, India.
Manuscript received on 09 August 2019 | Revised Manuscript received on 16 August 2019 | Manuscript Published on 31 August 2019 | PP: 263-268 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I10540789S219/19©BEIESP DOI: I10540789S219/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The implementation of neural network for the fault diagnosis is to improve the dependability of the proposed scheme by providing a more accurate, faster diagnosis relaying scheme as compared with the conventional relaying schemes. It is important to improve the relaying schemes regarding the shortcoming of the system and increase the dependability of the system by using the proposed relaying scheme. It also provide more accurate, faster relaying scheme. It also gives selective schemes as compared to conventional system. The techniques for survey employed some methods for the collection of data which involved a literature review of journals, from review on books, newspaper, magazines as well as field work, additional data was collected from researchers who are working in this field. To achieve optimum result we have to improve following things: (i) Training time, (ii) Selection of training vector, (iii) Upgrading of trained neural nets and integration of technologies. AI with its promise of adaptive training and generalization deserves scope. As a result we obtain a system which is more reliable, more accurate, and faster, has more dependability as well as it will selective according to the proposed relaying scheme as compare to the conventional relaying scheme. This system helps us to reduce the shortcoming like major faults which we faced in the complex system of transmission lines which will helps in reducing human effort, saves cost for maintaining the transmission system.
Keywords: Transmission Line, Faults, Artificial Intelligence, Multilayer Feed Forward Neural Network, Backpropagation, Genetic Algorithm
Scope of the Article: Wireless Power Transmission