Fault and Attack Detection and Diagnosis by Analysis of Electrical Waveforms of Power Networks-Reference-Cited by-同舟云学术

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Fault and Attack Detection and Diagnosis by Analysis of Electrical Waveforms of Power Networks

Published:2022-03-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Aerospace Conference (AERO)
language:
Short-container-title:

Author:

Coshatt Stephen J.¹,Yang Bowen¹,Ye Jin¹,Song WenZhan¹,Zahiri Feraidoon²,Hill James³

Affiliation:

1. Center for Cyber-physical Systems, University of Georgia,Athens,GA,30602

2. 402 CMXG/MXDEO, Robins Air Force Base,Warner Robins,GA,31098

3. Aging Aircraft Solutions,Warner Robins,GA,31098

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9843190/9843194/09843462.pdf?arnumber=9843462

Reference29 articles.

1. Complex power quality disturbances classification via curvelet transform and deep learning

2. A new power quality deviation index based on principal curves

3. A critical review of detection and classification of power quality events

4. Time series shapelets

5. Clustering Time Series Using Unsupervised-Shapelets

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