Hexa Spacer Damper for Vibration Energy Decaying of 765 kV Transmission Line
Bibliographic record
Abstract
Overhead conductors are prone to wind-induced vibrations which further influence transmission line infrastructures. Cascading failures of transmission lines may lead to major power outage. Several analytical and experimental techniques have been evolved across the world in order to nullify the conductors' vibrations. In this experimental work, the ACSR Zebra conductor has been used for power transmission. This paper presents hexa spacer damper for dissipation of vibration energy of 765 kV transmission lines. Exclusively designed and developed damper has been validated based on the field test findings at Hydro Québec Test Station, Canada. These bundled conductors are particularly susceptible to wind-induced vibrations in the recurrence scope of 10-60 Hz because of vortex shedding. A complete set of the field tests have been conducted while installing 27 numbers of hexa spacer dampers at different sub-span lengths across the test line. The aim of this test is to assess the damping property of hexa spacer damper by precise measurement with the help of sensor embedded on the actual model and vibration emulated mechanism for Aeolian vibrations and sub-range motions. The test findings confirm effectiveness of the in-house developed hexa spacer damper.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".