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Record W2025363009 · doi:10.1299/jamdsm.2014jamdsm0008

A modular and turn-key remote-access hardware-in-the-loop platform for testing electric motors

2014· article· en· W2025363009 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

VenueJournal of Advanced Mechanical Design Systems and Manufacturing · 2014
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEmulationModular designScalabilityEmbedded systemSoftwareKey (lock)Benchmark (surveying)Electric motorComputer scienceModularity (biology)EngineeringComputer hardwareOperating systemElectrical engineering

Abstract

fetched live from OpenAlex

This paper details the architecture, hardware and software of a platform for testing electric motors over the Internet that enables users to test multiple physical motors remotely under the specific loading conditions of the real-world application for which a motor is required. The system is divided into three major modules: the Server Software Application, the Target Software Application and the Motor Test Platform. The system is unique as it combines modularity, scalability and deliverability. It is modular, as it is capable of readily testing a variety of electric motors, scalable, as new motors can be quickly added to the system for testing, and is turn-key, easily deployed and installed. The proof-of-concept prototype was developed and examined against benchmark tests to determine its capabilities. The platform was effective as a remote access emulation and evaluation tool.

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)0.001
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: none
Teacher disagreement score0.769
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.028
GPT teacher head0.247
Teacher spread0.219 · 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