Evidence map›Paper›PMID 32872432›Full record

ArticleSensors (Basel, Switzerland)2020

Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach.

Abbas Ghaderi, Alessandro Mingotti, Lorenzo Peretto, Roberto Tinarelli

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Abbas GhaderiDepartment of Electrical, Electronic and Information Engineering-Guglielmo Marconi, Alma Mater Studiorum-University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy.ORCID 0000-0002-3129-7367
Alessandro MingottiDepartment of Electrical, Electronic and Information Engineering-Guglielmo Marconi, Alma Mater Studiorum-University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy.ORCID 0000-0002-1739-1277
Lorenzo PerettoDepartment of Electrical, Electronic and Information Engineering-Guglielmo Marconi, Alma Mater Studiorum-University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy.
Roberto TinarelliDepartment of Electrical, Electronic and Information Engineering-Guglielmo Marconi, Alma Mater Studiorum-University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy.ORCID 0000-0002-5377-2421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The instrument transformers scenario is moving towards the adoption of a new generation of low-power instrument transformers. This disruptive change also requires that the modeling, characterization, and testing of those devices must be improved. Therefore, this study focuses on a smart approach developed by the authors in a previous study to estimate the output of low-power voltage transformers (LPVT). The approach-which is based on a sort of modeling in the frequency domain (the so-called sinc-response)-allows obtaining the behavior of the LPVT at rated and distorted conditions. Experimental tests performed on off-the-shelf devices confirm the applicability and effectiveness of the proposed approach when estimating the output response of LPVTs.

Indexed as

distorted waveform testphase displacementratio errorsinc-responsesingle-frequency testtransfer functionvoltage transformers

Identifiers

PMID32872432
PMCPMC7506876

What OpenQuestion holds

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Registered trials

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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.