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Record W2993482977

Design and Development of Control Panel Box for Diesel Generator using Finite Element Method

2017· article· en· W2993482977 on OpenAlexaff
Amar R Kadam, Manjit Mali

Bibliographic record

VenueInternational journal of advance research and innovative ideas in education · 2017
Typearticle
Languageen
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsTrinity College
Fundersnot available
KeywordsAlternatorDiesel generatorGenerator (circuit theory)Automotive engineeringElectric generatorDiesel engineDiesel fuelEngineeringShunt generatorVibrationElectrical engineeringPower (physics)Permanent magnet synchronous generatorVoltageAcousticsPhysics
DOInot available

Abstract

fetched live from OpenAlex

Now a days Diesel generator set have become basic need of the modern world for constant electric supply or for power back up solutions. A Diesel Generator set consists of a diesel generator, an alternator and a control panel box. The speed of a diesel engine in a generator may have speed ranging within different limits but alternator have to maintain a constant electrical supply of frequency 50 Hz. Many vibration issues are related with the Diesel Generator set. The vibration level becomes severe when the engine runs at highest speed. Control Panel is one of the key elements of Diesel Generator set. The control panel covers some of the intricate components and electrical circuits which is hard to replace frequently. The main objective of this paper is to discuss the design and development of a control panel for given generator to minimize its vibrations in order to avoid resonance.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: Methods
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.132
GPT teacher head0.459
Teacher spread0.327 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations0
Published2017
Admission routes1
Has abstractyes

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