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Record W4286681559 · doi:10.53810/jt.v22i2.426

PENGARUH KONDISI ISOLASI DIELEKTRIK TERHADAP KEHANDALAN TRANSFORMATOR TENAGA

2022· article· id· W4286681559 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

VenueTeodolita Media Komunkasi Ilmiah di Bidang teknik · 2022
Typearticle
Languageid
FieldComputer Science
TopicIoT-based Control Systems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsChemistry

Abstract

fetched live from OpenAlex

Abstrak
 Transformator merupakan peralatan paling penting dalam penyaluran tenaga listrik, adapun fungsi dari trafo itu sendiri mengubah nilai tegangan (menaik turunkan) sesuai dengan kebutuhan penyaluran. Oleh karenanya, diperlukan perawatan atau pemeliharaan pada trafo untuk menjaga kehandalan kinerja trafo. Salah satu komponen penting dalam trafo yaitu isolasi trafo, isolasi trafo dibagi menjadi 2 jenis, yaitu isolasi solid (kertas) dan isolasi dielektrik (minyak). Dalam hal ini, isolasi Dielektrik merupakan representasi dari kondisi trafo dan merupakan alarm awal pemburukan trafo, sehingga penting untuk melakukan monitoring hasil uji isolasi dielektrik trafo. Pengujian dielektrik trafo terkait dengan isolasi yaitu pengujian minyak yang berupa uji DGA (Dissolved Gas Analysis), Karakteristik Minyak, dan Uji Furan. Untuk mengetahui kondisi awal isolasi trafo didapatkan dari hasil Uji DGA dan Karaktersitik Minyak. Dengan adanya presentasi kondisi awal trafo, maka akan dapat diambil tindakan preventif untuk meminimalisir gangguan internal trafo sehingga kehandalan trafo tetap terjaga.
 Kata kunci: isolasi dielektrik, DGA, karakteristik minyak

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0070.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.222
Teacher spread0.205 · 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