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Techniques for Time Synchronization and Significance in Industrial Facilities

2025· article· W4417473254 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
Language
FieldComputer Science
TopicNetwork Time Synchronization Technologies
Canadian institutionsCustom Security Industries (Canada)
Fundersnot available
KeywordsRedundancy (engineering)Synchronization (alternating current)Network Time ProtocolProtocol (science)Simple (philosophy)Time synchronizationFocus (optics)Data synchronization

Abstract

fetched live from OpenAlex

This paper examines the various methods available for facility-wide time synchronization, including the Inter-Range Instrument Group time code B (IRIG-B), Simple Network Time Protocol (SNTP), and Precision Time Protocol (PTP), while outlining the respective advantages and disadvantages as it pertains to protective relaying. The concepts to create a range of time synchronization applications are reviewed, from a simple local network with a computer server, to complex redundant methods leveraging master clocks. Of particular focus are the technical aspects of PTP and microsecond accuracy, as well as the relationship between PTP and IEC 61850, Parallel Redundancy Protocol (PRP) and High-Availability Seamless Redundancy (HSR) networks. Additionally, an examination of applications illustrating the importance of time synchronization is provided.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.016
GPT teacher head0.244
Teacher spread0.229 · 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