Evidence map›Paper›PMID 41977945›Full record

ArticleSensors (Basel, Switzerland)2026

Evaluation of the Effects of Increasing Standard Uncertainty on the Combined Uncertainties: Case of an IE2 5.5 kW Induction Motor.

Edoardo Fiorucci, Andrea Fioravanti, Simone Mari, Giovanni Bucci, Fabrizio Ciancetta, Alberto Prudenzi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Edoardo FiorucciDepartment of Industrial and Information Engineering and Economics, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0001-6244-5521
Andrea FioravantiDepartment of Industrial and Information Engineering and Economics, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0002-5378-2558
Simone MariDepartment of Industrial and Information Engineering and Economics, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0002-7227-2975
Giovanni BucciDepartment of Industrial and Information Engineering and Economics, University of L'Aquila, 67100 L'Aquila, Italy.
Fabrizio CiancettaDepartment of Industrial and Information Engineering and Economics, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0002-1676-5273
Alberto PrudenziDepartment of Industrial and Information Engineering and Economics, University of L'Aquila, 67100 L'Aquila, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing electric motors with higher efficiencies for energy savings and environmental protection is crucial. The efficiency of grid-connected induction motors can be measured using various approaches; the preferred method is the indirect approach, which evaluates the separate losses from the additional losses due to residual losses. This approach follows the traditional approach to efficiency determination, introducing experimental procedures to assess additional losses by measuring the torque delivered by the motors. As noted in previous articles, the procedure is complex and requires numerous direct measurements. One area of interest is the determination of measurement uncertainty. This work aims to quantify the sensitivity of the combined uncertainties of losses and efficiency to variations in directly measured input variables: power frequency, rotational speed, torque, power, current, voltage, resistance, coolant temperature, and cold frame temperature. The results presented here help select measurement instrumentation, depending on whether the tests are aimed solely at determining efficiency or whether it is necessary to analyze the trend of the various types of loss, as occurs in optimization and experimental verification processes with high-performance materials, based on a comprehensive analysis of all standard and combined uncertainties, and with experimental data to assign a realistic value to the uncertainties themselves.

Indexed as

efficiency measurementelectrical machine metrologyelectric motor lossesenergy efficiencyinduction motor efficiencyinduction motor testingloss separation methodmeasurement uncertainty

Identifiers

PMID41977945
PMCPMC13075059

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.