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Record W1965347154 · doi:10.1109/tsg.2010.2066293

Power Electronic Signaling Technology—A New Class of Power Electronics Applications

2010· article· en· W1965347154 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

VenueIEEE Transactions on Smart Grid · 2010
Typearticle
Languageen
FieldEngineering
TopicIslanding Detection in Power Systems
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPower electronicsElectrical engineeringSmart gridElectronicsPower engineeringElectric power transmissionComputer sciencePower transmissionPower (physics)Electric power systemClass (philosophy)EngineeringElectronic engineeringTelecommunicationsPower factorVoltage

Abstract

fetched live from OpenAlex

The application of power electronics to facilitate the transmission or conversion of electric energy has been well known. This paper presents a different class of power electronic applications-the power electronic circuits are deployed to create small but discernible signals online. The signals are utilized for monitoring, power line communication and other information-oriented purposes. We use the term “power electronic (PE) signaling technology” to designate the technologies involved in these applications. The objective of this paper is to survey and review the developments in this fascinating field. Several highly successful PE signaling technologies and their applications are illustrated. It is believed that signaling-oriented power electronic techniques will have many potential applications in power systems and can be a major source of innovation for the smart grid initiative.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.004
GPT teacher head0.199
Teacher spread0.196 · 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