A CNN-LSTM-based fault classifier and locator for underground cables-Reference-Cited by-同舟云学术

A CNN-LSTM-based fault classifier and locator for underground cables

Published:2021-06-06 Issue:22 Volume:33 Page:15293-15304
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Swaminathan Ruphan^ORCID,Mishra Sanhita^ORCID,Routray Aurobinda^ORCID,Swain Sarat Chandra

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06153-w.pdf

Reference26 articles.

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2. Chen K, Hu J, He J (2016) Detection and classification of transmission line faults based on unsupervised feature learning and convolutional sparse autoencoder. IEEE Trans Smart Grid 9(3):1748–1758

3. Patel B, Bera P (2018) Detection of power swing and fault during power swing using Lissajous figure. IEEE trans power deliv 33(6):3019–3027

4. Mishra DP, Ray P (2018) Fault detection, location and classification of a transmission line. Neural Comput Appl 30(5):1377–1424

5. Pandey A, Younan NH (2010) Underground cable fault detection and identification via fourier analysis. In: International conference on high voltage engineering and application. IEEE, pp 618–621

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