Temperature Impact on On-load Tap Changers Vibro-Acoustic Signals
Bibliographic record
Abstract
Vibroacoustic signals based diagnosis is a promising method for monitoring the on-load tap changers (OLTC). However, the influence of temperature on the OLTC vibroacoustic signals is still not completely quantified or modeled. In this paper, the impact of temperature on vibro-acoustic envelopes registered from OLTC operations, was investigated. The data analysis focused on the maximum values and time shifting of the vibroacoustic envelopes at high frequency. Probabilistic distributions were associated with the maximum values and time shifting of vibro-acoustic envelopes. Also, mathematical models that correlate the changes in the distribution parameters with temperature were proposed. The maximum values in the envelopes showed an approximately lognormal distribution, whereas the time shifting was associated to a normal distribution. Curve fitting tools were then used to model the mean values of the maximum values and time shifting as functions of temperature. The mean maximum values showed an approximately linear relationship with the temperature. However, different patterns were identified in the analysis. Time shifting follows different probabilistic models based on changes in the direction of the operations, which shows an increase in complexity. The results of this work help in understanding the influence of temperature on OLTC vibro-acoustic signals and aid in the development of new monitoring methods.
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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 | 0.001 |
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".