An Improved Signal Detection Algorithm for TWACS based Power Line Signals
Bibliographic record
Abstract
TWACS (two-way automatic communication system) is a powerful technology to send signals on power lines. The authors have developed an innovative new approach to detecting TWACS signals while applying the technology to check the continuity of a distribution feeder and detect the formation of islands in power distribution systems. This paper presents a new algorithm to detect TWACS signals which increases the reliability and accuracy of the detection process while reducing the cost of signal detection and transmission. It will take advantage of a DSP capability and has been tested using extensive field measured signals. The results show signals as low as 1.2% of the supply voltage can be detected as compared to 3% with the current analog method. Thus the cost and negative impact of the signal on power quality can be reduced. This paper presents detailed research results on the proposed algorithm and extensive field data tests have shown that the proposed algorithm is much more reliable than the traditional method
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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".