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Record W4367359480 · doi:10.1109/mias.2023.3264862

Extending the Life of Low Voltage Adjustable Speed Drives: The Newest Technology to Eliminate Risk

2023· article· en· W4367359480 on OpenAlexaff
John Kay, Bhanu Srilla

Bibliographic record

VenueIEEE Industry Applications Magazine · 2023
Typearticle
Languageen
FieldEngineering
TopicElectrical Fault Detection and Protection
Canadian institutionsGrace (Canada)
Fundersnot available
KeywordsOvercurrentCircuit breakerElectrical engineeringFuse (electrical)EngineeringLow voltageAutomotive engineeringVoltageElectronicsDistribution boardPower (physics)

Abstract

fetched live from OpenAlex

A fundamental aspect of low voltage ­adjustable speed drives’ (LV ASDs’) overcurrent protection is the elimination of harmful input power anomalies that could significantly damage the sensitive electronics in and around the ASD. This article provides an overview of the newest LV solid-state circuit breaker (SSCB) technology and how petroleum and chemical industry users can take advantage of its ability in eliminating almost all the electromechanical stresses applied at the input to any LV ASD when protected with traditional circuit ­breakers or ­high-speed protective fuses. This higher level of protection comes through the use of SSCB technologies that provide the lowest let-through energy level of any overcurrent protective device available today. At the same time, these devices eliminate risk by reducing harmful arc flash incident energy to near-negligible levels while requiring no maintenance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.005
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.012
GPT teacher head0.264
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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