Author:
Perez Ramón,Inga Esteban,Aguila Alexander,Vásquez Carmen,Lima Liliana,Viloria Amelec,Henry Maury-Ardila
Publisher
Springer International Publishing
Reference14 articles.
1. Thukaram, D., Khincha, H., Vijaynarasimha, H.: Artificial neural network and support vector machine approach for locating faults in radial distribution systems. IEEE Trans. Power Delivery 20, 710–721 (2005)
2. Mirzaei, M., Kadir, M., Moazami, E., Hizam, H.: Review of fault location methods for distribution power system. Aust. J. Basic Appl. Sci. 3, 2670–2676 (2009)
3. Prakash, M., Pradhan, S., Roy, S.: Soft computing techniques for fault detection in power distribution systems : a review. In: 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), pp. 1–6 (2014)
4. Mustafa, M.: A novel fuzzy cause-and-effect-networks based methodology for a distribution system’s. In: 2013 3rd International Conference on Electric Power and Energy Conversion Systems (EPECS), pp. 1–6 (2013)
5. Ying, H., Ying, H., Ding, Y., Ding, Y., Li, S., Li, S., Shao, S., Shao, S.: Typical Takagi-Sugeno and Mamdani fuzzy systems as universal approximators. In: IEEE International Conference on Fuzzy Systems, pp. 824–828 (1998)
Cited by
16 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