Open Access Open Access  Restricted Access Subscription or Fee Access

Transmission Power Line to Line Monitoring using Artificial Intelligence

E. N. Ganesh

Abstract


This paper presents a groundbreaking thought of upward transmission power line on-line checking, which incorporates the hardware parts and the elements of the framework. The framework is intended for checking icing circumstance and distinguishing the cover harm as well as other wellbeing data of the electrical cable. Counterfeit Neural Network (ANN) technology is utilized in this framework, and the test instances of remote checking of the framework in Shanghai China are likewise given in the paper. The framework has been tried in Shanghai, China for a long time and shows its unwavering quality of the activity. Further seen from research work prospect, it has incredible potential. Because of its incredible benefits of web based checking, expecting an extraordinary pragmatic need in China along with in different countries is sensible. Accordingly the framework is a critical stage forward to the savvy network improvement. The proposed framework has been incorporated for a long time and shows its dependability of the activity. Further seen from research work prospect, it has incredible potential. Because of its incredible benefits of internet checking, expecting an extraordinary pragmatic need in China along with in different countries is sensible. Accordingly the framework is a critical stage forward to the shrewd network advancement.


Full Text:

PDF

References


Yu Yixin, Luan Wenpeng, “Smart Grid and Its Implementations”, Proceedings of the CSEE, Dec. 5, 2009,Vol.29 No.34, pp.1-8.

Ma Lijun, Sun Gennian, Ma Yaofeng, Wang Jiejie and Shu Jingjing, “A Study on the Influence of Extreme Weather and Climate on Tourism:A Case on Snowstorm in 2008”, Resources Science, Jan.2010,Vol.32,No.1, pp.107-112.

Mao Yingke, Guan Zhicheng, Wang Liming and Yue Bo, “Prediction of Leakage Current of Outdoor Insulators Based on BP Artificial Neural Network”, Proceedings of the CSEE, Sep. 2007,Vol.27 No.27, pp.7-12.

Gu xueping, Zhang Wenqin, Gao Shu, Sheng Siqing and Yang Yihan, “Studies of Integrating Artificial Neural Networks with Expert System for Fault Diagnosis in Power System”, Journal of The Hebei Academy of Sciences, 1995, Vol.3 No.4, pp.33-39

Sathyasri, B., Dr.E.N.Ganesh, & Kumar, P. (2016). Autonomous Reconfiguration for Wireless Mesh Networks. Middle-East Journal of Scientific Research, 24(7), 2281–2288. DOI: 0.5829/idosi.mejsr.2016.24.07.

Sathyasri, B., Dr.E.N.Ganesh, & Kumar, P (2017) Performance Evolution of Efficient and Reliable Routing Protocol Algorithm International journal of Smart Sensing and Intelligent systems DOI :10.21.307/IJSSIS-2017-257 Vol 10 Page 358-373.

Dr.E.N.Ganesh “Power Awareness by Distributed Voltage-Scaling Technique for Wireless Sensor Networks – Review” International Journal of Digital Electronics Vol 2 issue 1 Page 10-18. DOI: 10.6084/m9.figshare.19612932

Dr.E.N.Ganesh “Analysis of Wireless Sensor Networks Through Secure Routing Protocols Using Directed Diffusion Methods” International Journal of Wireless Network Security 2022 vol 7 issue 1 page 28-35 DOI: 10.6084/m9.figshare.19513912

Dr. E.N. Ganesh “Study of VoIP Network Delay Using Neural Networks” in International Journal of Electronics and Engineering Vol 10 Pages 83-91 2020. DOI: 10.6636/IJEIE.202006 12(2).04.

Li D.H., Cheung K.L., Lam T.N., Chan W.W.J.A.E. A study of grid-connected photovoltaic (PV) system in Hong Kong. Appl. Energy. 2012;90:122–127. doi: 10.1016/j.apenergy.2011.01.054


Refbacks

  • There are currently no refbacks.