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Record W2168925104 · doi:10.1109/pcicon.2000.882763

Design of increased safety electrical machine: development activities and certification testing

2002· article· en· W2168925104 on OpenAlexaff
Ran Xing. Ong, J.H. Dymond, Bharat Mistry

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrical Fault Detection and Protection
Canadian institutionsGeneral Electric (Canada)
Fundersnot available
KeywordsCertificationExplosive materialReliability engineeringAutomotive engineeringEngineeringSafeguardComputer scienceMechanical engineering

Abstract

fetched live from OpenAlex

Electrical machines are used widely in the petrochemical industry. Most of the machines are operated in Class I hazardous locations and hence appropriate precautions must be taken to protect the machine to ensure that the explosive atmosphere cannot be ignited. There are four types of protection applicable to large machines. They are type p (purged and pressurized), type e (increased safety), type d (flameproof) and type N. Type p, type e and type d protections are permitted in Zone 1 or Zone 2. In 1996 and 1999, two machines were designed and tested to meet IEC 60079-0 and 60079-7 standards regarding Exe II B 200/spl deg/C (T3) requirement. The machines are installed in Zone 2 locations. The paper presents the electrical and mechanical design consideration of the increased safety induction machine. Finally, the paper describes the test procedure and summarizes the results from the series of tests performed on these two machines.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.032
GPT teacher head0.208
Teacher spread0.176 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2002
Admission routes1
Has abstractyes

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