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Record W1897996733 · doi:10.1109/pess.2001.970078

A reliability based approach to transmission maintenance planning and its application in BC Hydro system

2001· article· en· W1897996733 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Reliability and Maintenance
Canadian institutionsBC Hydro (Canada)
FundersBC Hydro
KeywordsReliability (semiconductor)Reliability engineeringScheduleComputer scienceMonte Carlo methodTransmission systemTransmission (telecommunications)Maintenance engineeringElectric power transmissionLinear programmingEngineeringPower (physics)TelecommunicationsElectrical engineering

Abstract

fetched live from OpenAlex

This paper presents a reliability-based method for transmission maintenance planning. A quantified impact assessment of the planned outage on the whole transmission system operation reliability is a main feature of the proposed method. This reliability centered maintenance (RCM) approach for transmission systems provides not only the lowest risk maintenance schedule but also the most reliable operation mode for the planned outage. Another feature of the method is ease of incorporation into the existing traditional transmission maintenance procedure. A time shift based Monte Carlo simulation technique and a linear programming optimization model are used to perform reliability evaluation of the transmission system with planned outage(s). An example for the planned replacement of a 230 kV cable in the BC Hydro North Metro system has been given to demonstrate a practical application of the proposed procedure and the method.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score0.572

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.209
Teacher spread0.199 · 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

Quick stats

Citations11
Published2001
Admission routes2
Has abstractyes

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