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Record W2109134139 · doi:10.1109/pcicon.2013.6666021

Considerations for ground-fault protection for low-voltage variable-frequency drive circuits supplied by high-resistance-grounded power-distribution systems

2013· article· en· W2109134139 on OpenAlexaff
Merv Savostianik, Michael Noonan, R. B. George, Mike Vangool

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Noise Suppression
Canadian institutionsPotashCorp (Canada)Suncor Energy (Canada)
Fundersnot available
KeywordsOvercurrentRelayGroundProtective relayTransformerCurrent transformerEngineeringLow voltageElectrical engineeringPower-system protectionReliability (semiconductor)Reliability engineeringVoltageElectric power systemComputer sciencePower (physics)

Abstract

fetched live from OpenAlex

Many low-voltage (LV) adjustable speed drives (ASD's) have a built-in ground-fault function that is not capable of detecting a low-level ground fault and may require the use of a suitable supplemental protection relay for reliable detection. While high resistance grounding (HRG) has become the norm, over recent decades, in many industrial facilities the surge in application of ASD's has challenged designers and end users to manage the attendant risks associated with achieving the intended safety and reliability of LV HRG systems, while managing the inevitable growth of loads that incorporate high-speed electronic switching equipment. Using a zero-sequence current transformer (ZSCT), connected to a ground-overcurrent relay, to detect small values of fault current in ASD circuits is accepted as a reliable approach; but where to locate the CT, upstream or downstream of the drive, is a matter of some debate. This paper reports the unsettling discovery in an industrial installation that the ground-fault-protection of low-voltage ASD's was incompatible with the HRG systems, discusses appropriate HRG design considerations, describes the selection of a retrofit- and new-installation solution, and offers a suggestion for the optimal ZSCT location.

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)0.000
metaresearch head score (Gemma)0.000
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: none
Teacher disagreement score0.764
Threshold uncertainty score1.000

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 head0.010
GPT teacher head0.196
Teacher spread0.187 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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