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Hitless redundancy protection for line differential protection communcations with active multipath pseudowire over IP/MPLS

2025· article· W7131410760 on OpenAlexaff
Hansen Chan, Dominique Verhulst

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsNokia (Canada)
Fundersnot available
KeywordsRedundancy (engineering)RelayJitterReliability (semiconductor)Differential protectionMultipath propagationLine (geometry)Differential (mechanical device)

Abstract

fetched live from OpenAlex

Line differential protection systems (87L) has stringent communication requirements, including low latency, symmetric delay, jitter mitigation, and high resilience. Building on the capabilities of IP/MPLS networks, which provide deterministic quality of service (QoS), flexible playout buffers for jitter control, and techniques to minimize delay asymmetry, this paper introduces an innovative solution: active multipath pseudowires. By replicating relay traffic over multiple active pseudowire paths over IP/MPLS networks, this technology significantly enhances network reliability with hitless recovery and multi-fault resilience. This paper also presents the results of an industry validation effort, demonstrating how modern IP/MPLS networks can meet the utmost reliability and availability standards required for line differential protection, thereby ensuring grid resiliency and availability.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.018
GPT teacher head0.264
Teacher spread0.246 · 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 teacher head, not a consensus.

Study designOther design
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

Citations0
Published2025
Admission routes1
Has abstractyes

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