Evidence map›Paper›PMID 41775764›Full record

ArticleScientific reports2026

Experimental evaluation and accuracy analysis of inductive current transformers under realistic nonlinear and harmonic-rich load conditions.

Ben H L Daouli, Hassan Mana, Chouaib Labiod, Ali Bebboukha, Ievgen Zaitsev

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ben H L DaouliLaboratory Automatic Setif (LAS), Electrical Engineering Department, University of Setif 1-Ferhat Abbas, 19000, Setif, Algeria.
Hassan ManaLaboratory Automatic Setif (LAS), Electrical Engineering Department, University of Setif 1-Ferhat Abbas, 19000, Setif, Algeria.
Chouaib LabiodUDERZA Unit, Department of Mechanical Engineering, Faculty of Technology, University of El Oued, 39000, El Oued, Algeria.
Ali BebboukhaUDERZA Unit, Department of Mechanical Engineering, Faculty of Technology, University of El Oued, 39000, El Oued, Algeria.
Ievgen ZaitsevDepartment of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy Avenue, 56, Kyiv, 03057, Ukraine. zaitsev@i.ua.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper provides an experimental evaluation of two current transformers' (CTs') accuracy performance under linear and nonlinear load scenarios. Four performance indicators-measured RMS current, total harmonic distortion (THD), ratio error, and phase error-were assessed across seven sample load scenarios in compliance with IEEE C57.13 and IEC 61,869 standards. The findings demonstrate that whereas CT accuracy is high under near-sinusoidal stimulation, it deteriorates with increasing waveform distortion and load current. Higher current levels exacerbate core nonlinearity and saturation, resulting in larger ratio and phase errors, while increased harmonic content increases THD and causes phase displacement between primary and secondary currents. In nonlinear circumstances, Actual current magnitudes are underestimated due to the constant attenuation of observed RMS values. This work's main contribution is a synchronized, time-domain experimental evaluation showing that phase error changes in tandem with ratio error and THD as functions of current magnitude and harmonic content. The limitations of sinusoidal-based CT accuracy classifications are revealed by this experimentally verified coupling between amplitude and angular inaccuracies. It also emphasizes the potential of sophisticated corrective techniques, such as real-time error detection, harmonic compensation, and artificial intelligence-based predictive modeling, to enhance CT reliability in distortion-rich power networks.

Indexed as

(CT) Current transformers(MDC)Measurement accuracyNonlinear loadsPhase errorsRatio error(THD) Total harmonic distortionVRMS accuracy

Identifiers

PMID41775764
PMCPMC12988194

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.