Partial discharge pattern recognition using variable predictive model‐based class discrimination with kernel partial least squares regression-Reference-Cited by-同舟云学术

Partial discharge pattern recognition using variable predictive model‐based class discrimination with kernel partial least squares regression

Published:2018-05 Issue:3 Volume:12 Page:360-367
ISSN:1751-8830
Container-title:IET Science, Measurement & Technology
language:en
Short-container-title:IET Science, Measurement & Technology

Author:

Jia Yafei¹,Zhu Yongli¹

Affiliation:

1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy SourcesNorth China Electric Power UniversityBaoding071003People's Republic of China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-smt.2017.0345

Reference25 articles.

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

4. Spectral features for the classification of partial discharge signals from selected insulation defect models

5. Partial discharge pattern recognition method based on variable predictive model‐based class discriminate and partial least squares regression;Zhu Y.;IET Sci., Meas. Technol.,2016

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