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Record W2113879869 · doi:10.1109/pess.2002.1043453

Feasibility study of maintenance cost reduction in redundant customer delivery systems

2003· article· en· W2113879869 on OpenAlex
G. Hamoud, J. Toneguzzo, Chuck Yung

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
TopicPower System Reliability and Maintenance
Canadian institutionsHydro One (Canada)
Fundersnot available
KeywordsReliability engineeringCorrective maintenancePreventive maintenancePredictive maintenanceCost reductionMaintenance engineeringReliability (semiconductor)Redundancy (engineering)Computer sciencePlanned maintenanceProactive maintenanceWork (physics)Risk analysis (engineering)Operations managementEngineeringBusiness

Abstract

fetched live from OpenAlex

Maintenance is carried out on various transmission system components to keep their performance within acceptable standards and to maintain their average life expectancy. The cost associated with maintenance work is largely dependent on how often maintenance routines are performed and on the level of work to be done. Current maintenance routines on transmission system components are normally performed in accordance with equipment manufacturer's guidelines and modified by field experts as maintenance experience is gained. The implementation of the reliability-centred maintenance (RCM) in the electricity industry has re-engineered the maintenance practices and has resulted in a significant saving to the industry. One area where an additional maintenance cost saving can be made is the customer delivery system with a redundancy in supply. In this system, the loss of one supply path would not affect the reliability of supply to customers. By doing less frequent maintenance on one or both supply paths, some cost saving can be made without jeopardizing the reliability of supply to customers. This paper describes the study that was performed at Hydro One to assess the impact of reduced component maintenance cycles on the reliability of redundant customer delivery systems. A cost/benefit analysis was performed to determine the possible consequences of reduced maintenance and to decide whether or not to stretch out the component maintenance cycle.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score0.525

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 head0.019
GPT teacher head0.233
Teacher spread0.213 · 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

Citations3
Published2003
Admission routes1
Has abstractyes

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