Predictive Modeling of Surface Flashover Using Deep Learning-Reference-Cited by-同舟云学术

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Predictive Modeling of Surface Flashover Using Deep Learning

Published:2024-06-19 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE Transportation Electrification Conference and Expo (ITEC)
language:
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Author:

Tewari Vedant¹,Al Sufi Suaib²,Benet Sean³,Park Chanyeop²

Affiliation:

1. University of Wisconsin-Milwaukee,Department of Computer Science,Milwaukee,WI,USA

2. University of Wisconsin-Milwaukee,Department of Electrical Engineering,Milwaukee,WI,USA

3. University of Wisconsin-Milwaukee,Department of Computer Engineering,Milwaukee,WI,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10598816/10598836/10598962.pdf?arnumber=10598962

Reference29 articles.

1. Improving pattern recognition accuracy of partial discharges by new data preprocessing methods

2. End-to-End Partial Discharge Detection in Power Cables via Time-Domain Convolutional Neural Networks

3. Anomaly Detection, Trend Evolution, and Feature Extraction in Partial Discharge Patterns

4. Partial Discharge Detection with Convolutional Neural Networks

5. A Novel Deep-Learning Framework to Identify and Locate Single and Multiple Partial Discharge Events

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