Mechanical Fault Diagnostic in PMSM from Only One Current Measurement: A Tacholess Order Tracking Approach.

Abdallah Allouche, Erik Etien, Laurent Rambault, Thierry Doget, Sebastien Cauet, Anas Sakout

Abstract readLetter

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 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.

Interturn Short Fault Diagnosis Using Magnitude and Phase of Currents in Permanent Magnet Synchronous Machines.Sensors (Basel, Switzerland) · 2022
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

6 authors.

Abdallah AlloucheLaSIE Laboratory UMR CNRS 7356, University of La Rochelle, 17042 la Rochelle, France.

Erik EtienLIAS Laboratory, University of Poitiers, 86073 Poitiers, France.

Laurent RambaultLIAS Laboratory, University of Poitiers, 86073 Poitiers, France.ORCID 0000-0002-2104-8535

Thierry DogetLIAS Laboratory, University of Poitiers, 86073 Poitiers, France.

Sebastien CauetLIAS Laboratory, University of Poitiers, 86073 Poitiers, France.ORCID 0000-0001-5681-3439

Anas SakoutLaSIE Laboratory UMR CNRS 7356, University of La Rochelle, 17042 la Rochelle, France.ORCID 0000-0003-2571-5531

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents a mechanical fault diagnosis methodology in synchronous machines using only a single current measurement in variable speed conditions. The proposed methodology uses order tracking in order to sample the analysis signal as a function of the rotor angle. The spectrum of the signal is then independent of speed and it could be employed in frequency analysis. Order tracking is usually applied using rotor position measurement. In this work, the proposed method uses one current measurement to estimate the position as well as the analysis signal (rotation speed). Furthermore, a statistical approach is used to create a complete diagnosis protocol. At variable speed and with only one current measurement the diagnosis is challenging. However, order tracking will allow simpler analysis. The method is proved in simulations and experimental set-up.

Indexed as

motor current analysisPMSM diagnosticstatistical approachtacholess order trackingvariable speed

Identifiers

PMID32899369

DOI10.3390/s20175011

PMCPMC7506800

What OpenQuestion holds

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LicenceCC BY

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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.