INTELLIGENT TECHNIQUE FOR FAULT CLASSIFICATION IN TRANSMISSION LINE

被引：0
|
作者：
Satapathy, Arpan K. [1 ]
Pati, Subhendu [2 ]
Sahu, Akshaya K. [2 ]
Nanda, Riti P. [1 ]
Panigrahi, Basanta K. [2 ]
机构：
[1] Siksha O Anusandhan, Dept EEE, ITER, Bhubaneswar, India
[2] Siksha O Anusandhan, Dept EE, ITER, Bhubaneswar, India
来源：
PROCEEDINGS OF THE 2019 3RD INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC 2019) | 2019年
关键词：
Artificial Neural Network (ANN); Mean Square Error (MSE); Back Propagation Neural Network (BPNN); NEURAL-NETWORK APPROACH; TRANSFORM;
D O I：
10.1109/iccmc.2019.8819701
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
By using transmission line, we can transmit the electrical power from source to the load. We first generate the power from the power station and then transmit the power from generator side to the load side. In the interconnected network fault is the common fact. Due to the increase in the production of power, the rate of fault is also increasing day by day. The scientists are trying to discover the technique for analysis and detection of fault in the transmission line. ANN is an intelligent technique use for finding the type of fault and the location of faults in the any interconnected network system. In this paper ANN technic is used for finding the any fault that was arisen in the transmission line. Here it is easy to find out the type of fault by applying the ANN technic rather than by using computational algorithms. BPNN algorithm is used to find out the type of fault and then by using the formula we can calculate the MSE of the all type of fault. All the model is done by using Mat lab and Simulink software.
引用
收藏
页码：508 / 511
页数：4
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