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Record W2798950335 · doi:10.1109/cpre.2018.8349811

New methods for monitoring neutral grounding resistors

2018· article· en· W2798950335 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
TopicElectrical Fault Detection and Protection
Canadian institutionsOntario Tech UniversityWestern University
Fundersnot available
KeywordsResistorGroundElectrical engineeringRelayEngineeringArc suppressionGenerator (circuit theory)VoltageElectronic engineeringElectric power systemComputer sciencePower (physics)Physics

Abstract

fetched live from OpenAlex

Electrical power systems control arcing current and electrical shock hazard by proper neutral grounding such as high resistance grounding. The high resistance neutral grounding resistors fail due to vibration, intermittent arcs, corrosion, etc. and cause the risk of the system being ungrounded, or solidly grounded. In this paper, two efficient solutions are introduced that provide continuous monitoring of such resistors installed at neutral of two most common configurations of the unit-connected generators. The first proposed method relies on the third harmonic of neutral and residual voltages, and the second technique employs the sub-harmonic injection based generator stator ground protection. The proposed methods show satisfying performance under different conditions of the resistor and generator, observed through comprehensive software analysis and further hardware validations. The first proposed monitoring method has been retrofitted to an industrial generator protection relay which no longer maloperates due to failed-short neutral grounding resistor. Proposed techniques can be incorporated into digital protective relays, which will monitor and alarm in case of the failed grounding resistor.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.864
Threshold uncertainty score0.275

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 head0.031
GPT teacher head0.359
Teacher spread0.328 · 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