Research on fault type diagnosis method of transmission line based on multi-source information fusion of operation inspection and control platform

Author:

Li Ting1,Zhang Xiaojun2,Pan Hua2,Zhu Weijun1,Le Jian3

Affiliation:

1. State Grid Hunan Electric Power Company, China

2. State Grid Hunan Electric Power Co., Ltd, China

3. Wuhan University, China

Publisher

ACM

Reference22 articles.

1. A deep learning based intelligent approach in detection and classification of transmission line faults[J];Shahriar Rahman FAHIM;International Journal of Electrical Power and Energy Systems,2021

2. EJAZ Ul Haq , HUANG Jianjun , KANG Li , FIAZ Ahmad , DAVID Banjerdpongchai , TIJIANG Zhang . Improved performance of detection and classification of 3-phase transmission line faults based on discrete wavelet transform and double-channel extreme learning machine[J] . Electrical Engineering , 2020 (prepublish). EJAZ Ul Haq, HUANG Jianjun, KANG Li, FIAZ Ahmad, DAVID Banjerdpongchai, TIJIANG Zhang. Improved performance of detection and classification of 3-phase transmission line faults based on discrete wavelet transform and double-channel extreme learning machine[J]. Electrical Engineering, 2020 (prepublish).

3. Transmission Line Fault Analysis Method Based on Fuzzy Knn

4. MAT Nizam Mahmud , MOHAMMAD Nizam Ibrahim , MUHAMMAD Khusairi Osman , ZAKARIA Hussain . A robust transmission line fault classification scheme using class-dependent feature and 2-Tier multilayer perceptron network[J] . Electrical Engineering , 2018 , 100(2). MAT Nizam Mahmud, MOHAMMAD Nizam Ibrahim, MUHAMMAD Khusairi Osman, ZAKARIA Hussain. A robust transmission line fault classification scheme using class-dependent feature and 2-Tier multilayer perceptron network[J]. Electrical Engineering, 2018, 100(2).

5. A novel approach for the detection, classification and localization of transmission lines faults using wavelet transform and support vector machines classifier[J];Nilish S. Wani;International Journal of Engineering & Technology,2018

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