Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Recurso digital |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Zenodo
2026
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| Konular: | |
| Online Erişim: | https://doi.org/10.5281/zenodo.20186125 |
| Etiketler: |
Etiketle
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İçindekiler:
- <p>This exploratory methodological preprint investigates organisational trajectory behaviour in PRONOSTIA bearing degradation data using a multi-stage phase-space analysis pipeline developed across versions V68–V70.</p> <p>The analysis focuses on:</p> <p>• rolling peak/RMS asymmetry persistence<br>• RMS takeover behaviour<br>• organisational phase-space trajectory construction<br>• degradation trajectory classification<br>• group centroid movement through organisational phase-space</p> <p>Rather than treating degradation purely as monotonic amplitude growth, the framework examines whether evolving organisational geometry within feature-space carries stable information about transition dynamics and degradation behaviour.</p> <p>The repository contains:</p> <p>• exploratory preprint PDF<br>• organisational trajectory figures<br>• V68–V70 analysis scripts<br>• selected derived summary outputs<br>• dependency and repository documentation</p> <p>This release is intended as a timestamped exploratory methodological archive rather than a final industrial predictive framework. Statistical validation, robustness testing, benchmarking, and predictive evaluation remain future work.</p> <p>Repository structure:<br>- PREPRINT/<br>- FIGURES/<br>- SCRIPTS/<br>- RESULTS/<br>- REQUIREMENTS/</p> <p>Original PRONOSTIA dataset:<br>FEMTO-ST Institute, Besançon, France.</p>