Organisational Trajectory Classification in PRONOSTIA Bearing Degradation: An Exploratory Phase-Space Analysis

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. The analysis focuses on: • rolling peak/RMS asymmetry persistence• RMS takeover behaviour• organisational phase-space trajectory construction• degradation trajectory classification• group centroid movement through organisational phase-space 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. The repository contains: • exploratory preprint PDF• organisational trajectory figures• V68–V70 analysis scripts• selected derived summary outputs• dependency and repository documentation 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. Repository structure:- PREPRINT/- FIGURES/- SCRIPTS/- RESULTS/- REQUIREMENTS/ Original PRONOSTIA dataset:FEMTO-ST Institute, Besançon, France.