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Record W4391559690 · doi:10.1109/tia.2024.3362920

Transmission Structure Corrosion Due to Stray Currents and the Inspection and Mitigation Techniques: A Review

2024· review· en· W4391559690 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

VenueIEEE Transactions on Industry Applications · 2024
Typereview
Languageen
FieldEngineering
TopicNon-Destructive Testing Techniques
Canadian institutionsManitoba HydroUniversity of Saskatchewan
Fundersnot available
KeywordsCorrosionStray voltageElectric power transmissionEngineeringElectrical engineeringTransmission (telecommunications)Forensic engineeringComputer scienceMaterials scienceEnvironmental scienceMetallurgy

Abstract

fetched live from OpenAlex

Transmission structures cost about 50% of the project budget on material for transmission grids. Corrosion of transmission structures is a primary cause of in-service equipment degradation and is an increasing engineering and economic problem, with electric utilities spending more of their maintenance budget on inspection and refurbishment of corroded structures each year. The increasing congestion from the shared Right-of-Ways (ROWs) with other infrastructures also negatively impacts transmission structures due to their stray currents interactions. In this paper, the impact of below-grade corrosion on electric power transmission structures is reviewed with a focus on electrolytic corrosion due to the stray current interference reported in the literature. Corrosion inspection and mitigation techniques are also reviewed. The future research direction is recommended in this important but rarely studied area.

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
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 head0.022
GPT teacher head0.317
Teacher spread0.295 · 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