Unsupervised High Impedance Fault Detection Using Autoencoder and Principal Component Analysis-Reference-Cited by-同舟云学术

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Unsupervised High Impedance Fault Detection Using Autoencoder and Principal Component Analysis

Published:2023-10-29 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 IEEE Industry Applications Society Annual Meeting (IAS)
language:
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Author:

Liu Yingxiang¹,Razeghi-Jahromi Mohammad²,Stoupis James³

Affiliation:

1. University of Southern California,Department of Electrical and Computer Engineering,Los Angeles,USA

2. ABB US Research Center,Principal Scientist at Electrical Systems Department,Raleigh,USA

3. ABB US Research Center,Electrical Systems Department Manager,Raleigh,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406298/10406221/10406489.pdf?arnumber=10406489

Reference26 articles.

1. High impedance fault detection: A review

2. High impedance fault detection on distribution systems

3. High impedance fault detection on distribution feeders;Adamiak;GE Industrial solutions,2006

4. Arcing fault detection for distribution feeders: security assessment in long term field trials

5. An Intelligent Detection of High-Impedance Faults for Distribution Lines Integrated With Distributed Generators

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