Digital filter based on chaos theory used for removing narrow‐frequency‐band noise in PD signals-Reference-Cited by-同舟云学术

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Digital filter based on chaos theory used for removing narrow‐frequency‐band noise in PD signals

Published:2020-05-19 Issue:13 Volume:2020 Page:357-360
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Jiang Tianyan¹,Wang Baimei²,Bi Maoqiang¹,Chen Xi¹,Cheng Shouhua¹,Wang Fan³

Affiliation:

1. School of Electrical and Electronic Engineering, Chongqing University of TechnologyChongqing400054People's Republic of China

2. State Grid Chengdu Electric Power Supply CompanyChengdu610000People's Republic of China

3. Center of Equipment Status Evaluation, Shanxi Electric Power Research Institute of State GridXi'an 710048People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2019.1139

Reference10 articles.

1. On‐line monitoring of partial discharges in a HVDC station environment;Jacob N.D.;IEEE Trans. Dielectr. Electr. Insul.,2012

2. Method for partial discharge localisation in air‐insulated substations;Li P.;IET Sci. Meas. Technol.,2017

3. A new adaptive technique for on‐line partial discharge monitoring;Khan S.Z.;IEEE Trans. Dielectr. Electr. Insul.,1995

4. Evaluation of digital filters for rejecting discrete spectral interference in on‐site PD measurements;Nagesh V.;IEEE Trans. Electr. Insul.,1993

5. Machine learning techniques for robust classification of partial discharges in oil–paper insulation systems;Wei L.W.;IET Sci. Meas. Technol.,2016

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1. Chaotic Steady States of the Reinartz Oscillator: Mathematical Evidence and Experimental Confirmation;Axioms;2023-12-01

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