@article{(Open Science Index):https://publications.waset.org/pdf/15692,
	  title     = {A Novel Approach to Fault Classification and Fault Location for Medium Voltage Cables Based on Artificial Neural Network},
	  author    = {H. Khorashadi-Zadeh and  M. R. Aghaebrahimi},
	  country	= {},
	  institution	= {},
	  abstract     = {A novel application of neural network approach to
fault classification and fault location of Medium voltage cables is
demonstrated in this paper. Different faults on a protected cable
should be classified and located correctly. This paper presents the use
of neural networks as a pattern classifier algorithm to perform these
tasks. The proposed scheme is insensitive to variation of different
parameters such as fault type, fault resistance, and fault inception
angle. Studies show that the proposed technique is able to offer high
accuracy in both of the fault classification and fault location tasks.},
	    journal   = {International Journal of Energy and Power Engineering},
	  volume    = {2},
	  number    = {6},
	  year      = {2008},
	  pages     = {1273 - 1276},
	  ee        = {https://publications.waset.org/pdf/15692},
	  url   	= {https://publications.waset.org/vol/18},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 18, 2008},