Organisational Trajectory Classification in PRONOSTIA Bearing Degradation: An Exploratory Phase-Space Analysis
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| Natura: | Recurso digital |
| Lingua: | inglese |
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2026
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| _version_ | 1866901519539896320 |
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| author | McElhinney, Robert |
| author_facet | McElhinney, Robert |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20186125 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Organisational Trajectory Classification in PRONOSTIA Bearing Degradation: An Exploratory Phase-Space Analysis McElhinney, Robert PRONOSTIA bearing degradation predictive maintenance phase-space analysis trajectory classification condition monitoring organisational dynamics RMS takeover degradation trajectories exploratory methodology <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> |
| title | Organisational Trajectory Classification in PRONOSTIA Bearing Degradation: An Exploratory Phase-Space Analysis |
| topic | PRONOSTIA bearing degradation predictive maintenance phase-space analysis trajectory classification condition monitoring organisational dynamics RMS takeover degradation trajectories exploratory methodology |
| url | https://doi.org/10.5281/zenodo.20186125 |