|Table of Contents|

Fault Identification Method of Distribution Cable Based on Time-FrequencyDomain Features Extracted by ReliefF and Random Forest Algorithm(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2020年02期
Page:
44-51
Research Field:
电气工程
Publishing date:

Info

Title:
Fault Identification Method of Distribution Cable Based on Time-FrequencyDomain Features Extracted by ReliefF and Random Forest Algorithm
Author(s):
Wang Hui1; Chen Jianing2; Jin Xue1; Feng Shuang2
(1.Nari Technology Co.,Ltd.,Nanjing 211106,China)(2.School of Electrical Engineering,Southeast University,Nanjing 210096,China)
Keywords:
cable of distribution network; short-circuit fault identification; time-frequency domain feature; ReliefF; random forest
PACS:
TM726
DOI:
10.3969/j.issn.1672-1292.2020.02.007
Abstract:
This paper proposes a fault identification method of distribution cable based on time-frequency domain features extracted by ReliefF and random forest algorithm. 23 fault-sensitive features in time and frequency domain are constructed with bases of the zero sequence voltage,which are then selected with RefiefF method to obtain the subset of features with strong ability to identify the types of fault. The subset of features serves as the input of random forest to train the model identifying the type of short circuit fault. Compared with the method utilizing single feature,the proposed method exploits the potential of data and is more robust. Besides,because of the elimination of irrelative features,the efficiency of the method is improved. The simulation is carried out in Matlab and compared with decision tree,KNN and SVM algorithms. The result demonstrates the feasibility and high accuracy of the proposed method.

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Last Update: 2020-05-15