Classification of Partial Discharges Originating From Multilevel PWM Using Machine Learning-Reference-Cited by-同舟云学术

Classification of Partial Discharges Originating From Multilevel PWM Using Machine Learning

Published:2022-02 Issue:1 Volume:29 Page:287-294
ISSN:1070-9878
Container-title:IEEE Transactions on Dielectrics and Electrical Insulation
language:
Short-container-title:IEEE Trans. Dielect. Electr. Insul.

Author:

Balouji Ebrahim¹^ORCID,Hammarstrom Thomas¹^ORCID,McKelvey Tomas¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden

Funder

Chalmers Tekniska Högskola

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/94/9737443/09701365.pdf?arnumber=9701365

Reference25 articles.

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4. A Novel Application of Deep Belief Networks in Learning Partial Discharge Patterns for Classifying Corona, Surface, and Internal Discharges

5. Influence of the PWM voltage waveform on partial discharge occurrence in motor windings;fuerst;Proc Eur Digit Days Int Exhib Conf Power Electron Intell Motion Renew Energy and Energy Manage (PCIM),2020

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