Abstract
Power system constitute a major part of the electrical system relating in the present world. Every single portion of this system assumes a major part in the accessibility of the electrical power one uses at their homes, enterprises, workplaces, industrial facilities and so on. Any deficiency in power system causes a ton of inconvenience for the maintenance of the system. So transmission system needs a proper protection scheme to ensure continuous power supply to the consumers. The countless extent of power systems and applications requires the improvement in suitable techniques for the fault classification in power transmission systems, to increase the efficiency of the systems and to avoid major damages. For this purpose, the technical literature proposes a large number of methods. This chapter analyzes the technical literature, summarizing the most important methods that can be applied to fault classification and advanced technologies developed by various researchers in power transmission systems.
Reference57 articles.
1. Intelligent Machine Vision Technique for Disease Detection through Eye Scanning
2. A knowledge mining model for ranking institutions using rough computing with ordering rules and formal concept analysis;D. P.Acharjya;International Journal of Computer Science Issues,2011
3. Prediction of Missing Associations Using Rough Computing and Bayesian Classification
4. Detection of denial of service attack in wireless network using dominance based rough set.;N. S. S.Ahmed;International Journal of Advanced Computer Science and Applications,2015
5. Symmetrical pattern and PCA based framework for fault detection and classification in power systems
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献