MétaCan
Menu
Back to cohort

Emulation of Interturn Short Circuit Faults in Electric Power Steering Motors

2024· article· en· W4407351683 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicControl Systems in Engineering
Canadian institutionsConcordia University
Fundersnot available
KeywordsEmulationElectric motorElectrical engineeringPower (physics)Computer scienceAutomotive engineeringPower steeringEngineeringPsychologyPhysics

Abstract

fetched live from OpenAlex

This paper presents the Emulation of an Electric Power Steering (EPS) motor for Electric Vehicle (EV) and regular applications. In particular, this research focuses on the Emulation of an EPS motor with an Interturn Short Circuit (ITSC) fault. The research establishes the viability of the emulator setup for replacing an actual EPS motor for the purpose of studying fault conditions in the motor, thus avoiding permanent and expensive damage to a healthy EPS motor in future studies. The research also proposes the use of a PIR controller, instead of the traditional PI controller, for the control algorithm of the Emulating Converter (EC) in order to accurately draw from the Drive Inverter, the currents that would be drawn by the actual machine with 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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score0.540

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.202
Teacher spread0.196 · 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

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicControl Systems in EngineeringFrench-language works237,207