Evidence map›Paper›PMID 40218595›Full record

ArticleSensors (Basel, Switzerland)2025

Novel Investigation of Influence of Torsional Load on Unbalance Fault Indicators for Induction Motors.

Amir R Askari, Len Gelman, Andrew D Ball

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

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

1 citing paper in PubMed.

  1. 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

3 authors.

Amir R AskariDepartment of Engineering, School of Computing and Engineering, The University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK.ORCID 0000-0002-8090-7926
Len GelmanDepartment of Engineering, School of Computing and Engineering, The University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK.
Andrew D BallDepartment of Engineering, School of Computing and Engineering, The University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK.ORCID 0000-0002-8593-6830

Funding

Innovate UK 35195
6 · The paper itself

Abstract

This paper investigates how the torsional load affects two vibration-based unbalance fault indicators. This investigation is important for unbalance fault diagnosis in multiple constant load conditions, which are unavoidable for many rotating machines. Coupled flexural-torsional dynamics of an unbalanced disc-shaft system, as the representative of an induction motor, is investigated via a continuous shaft-beam model. Numerical investigations reveal that the fundamental rotating intensity of the transversal acceleration is independent of the torsional load. So, the novel speed-invariant version of this indicator, which is obtained by normalizing the fundamental rotating intensity by the fourth power of the rotational speed, is also load-independent. The comprehensive experimental trials confirm load-independency of the considered two unbalance fault indicators. The important novel outcome is that, by conducting numerical analysis and comprehensive experimental trials with a belt conveyor system under various constant loading conditions, the load-independency of the fundamental rotating harmonic intensity as well as novel speed-invariant unbalance feature are justified.

Indexed as

fault diagnosisinduction motorssignal processing

Identifiers

PMID40218595
PMCPMC11991047

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.