A Novel Regression Model-Based Toolbox for Induced Voltage Prediction on Rail Tracks Due to AC Electromagnetic Interference of Adjacent Power Lines-Reference-Cited by-同舟云学术

A Novel Regression Model-Based Toolbox for Induced Voltage Prediction on Rail Tracks Due to AC Electromagnetic Interference of Adjacent Power Lines

Published:2022-10-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Industry Applications Society Annual Meeting (IAS)
language:
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Author:

Shabbir Md Nasmus Sakib Khan¹,Wang Chenyang²,Liang Xiaodong¹,Adajar Emerson²

Affiliation:

1. University of Saskatchewan,Department of Electrical and Computer Engineering,Saskatoon,SK,Canada

2. Manitoba Hydro Transmission Overhead Civil Engineering Department,Winnipeg,MB,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9939685/9939671/09939715.pdf?arnumber=9939715

Reference22 articles.

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4. Fast and Efficient High-Sigma Yield Analysis and Optimization using Kernel Density Estimation on a Bayesian Optimized Failure Rate Model;weller;IEEE Trans Comput -Aided Des Integr Circuits Syst,2021

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1. A Novel Toolbox for Induced Voltage Prediction on Rail Tracks Due to AC Electromagnetic Interference Between Railway and Nearby Power Lines;IEEE Transactions on Industry Applications;2023-05

2. The effect of amplitude modification in S-shaped activation functions on neural network regression;Neural Network World;2023