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Record W2522523253 · doi:10.1109/icma.2016.7558530

Realization of drill rectifying control for coal shearer based on an improved PID algorithm

2016· article· en· W2522523253 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIndustrial Technology and Control Systems
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsDrillDeflection (physics)PID controllerDrillingServoCoal miningServomotorDirectional drillingCoalEngineeringControl theory (sociology)Computer scienceGeologyMining engineeringMechanical engineeringControl (management)Artificial intelligenceTemperature controlPhysics

Abstract

fetched live from OpenAlex

During the coal cutting process in mines, the drill stem is easy to be deflected in virtue of the complicated geological conditions. The deviation control of drill stems is of great significance for the production efficiency and service life of drill stems. Based on analyzing influence factors of the deflection of drills, this paper builds up a model to describe deflecting forces of the coal seam. Utilizing MPU6050, a three axis gyroscope, to get the deviation angles, an improved PID control algorithm is employed to guarantee directional drilling of the coal mining machine by applying electrohydraulic servo valves to rectify the deflective drill.

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)0.000
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: none
Teacher disagreement score0.997
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.012
GPT teacher head0.224
Teacher spread0.211 · 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