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Record W4415256965 · doi:10.1109/tie.2025.3595985

Analysis of Clarke Vector Hodograph Shape for Diagnostics of Inter-Turn Fault in Stators of Induction Electric Motors

2025· article· W4415256965 on OpenAlexaff
Jacek Wodecki, Anna Michalak, Justyna Hebda-Sobkowicz, Agnieszka Wyłomańska, Marcin Wolkiewicz, Krzysztof Szabat, Sebastien Weisse, Jerome Valire

Bibliographic record

VenueIEEE Transactions on Industrial Electronics · 2025
Typearticle
Language
FieldEngineering
TopicNon-Destructive Testing Techniques
Canadian institutionsSafran Electronics (Canada)
Fundersnot available
KeywordsHodographStatorElectromagnetic coilFault (geology)Context (archaeology)Feature vector

Abstract

fetched live from OpenAlex

In this article, a novel approach is presented for assessing the quantity of compromised stator windings utilizing the Clarke vector hodograph (later referred to as “hodograph”). The fault is understood in the context of inter-turn short-circuits of stator windings in an induction motor. Experimental investigation on a dedicated test rig reveals that with undamaged windings, the hodograph manifests itself as a circle; otherwise, it assumes an elliptical form. The angle of inclination of the ellipse, as well as the degree of flattening, indicates the presence of the fault that can be quantified. To detect faults related to stator defects, an algorithm is proposed that allows for parameterizing the features and investigating their monotonicity. Furthermore, an analysis of feature distribution per fault case is performed. These investigations led to the construction of a statistical model in 2-D feature space that allows for performing model-based diagnostics and the quantification of the severity of the fault.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.013
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.279
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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