Partial discharge impulsive noise in electricity substations and the impact on 2.4 GHz and 915 MHz ZigBee communications
Bibliographic record
Abstract
An investigation of the performance of ZigBee systems in high voltage electricity substations is described in this paper. The ZigBee wireless platform is a cost-efficient wireless networking system recently for the purpose of monitoring substation components in electric substations. Although this system has some inherent resistance to interference given its spread spectrum technology, impulsive noise with a short duration and a strong energy content caused by partial discharge (PD) of a dielectric breakdown can degrade the communication quality of ZigBee nodes. In this paper, a novel statistical model of substation PD impulsive noise is proposed and the impact of this impulsive noise on the ZigBee 2.4 GHz and 915 MHz frequency bands is evaluated. Although our results show the 2.4 GHz ZigBee is more resistant to PD impulsive noise in electricity substations, it may be advantageous to deploy 915 MHz ZigBee if PD detection and concurrent telemetry data collection are desired.
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 | 0.000 | 0.000 |
| 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".