CDN-RUL: condition-decoupled normalization with conformal uncertainty quantification for remaining useful life prediction
Description
Code and result artifacts for the manuscript "CDN-RUL: Condition-Decoupled Normalization with Conformal Uncertainty Quantification for Remaining Useful Life Prediction under Varying perating Conditions" (submitted to Reliability Engineering & System Safety). Contents: implementation (src/), JSON artifacts backing every table and figure (results/),a step-by-step reproduction guide (REPRODUCE.md) mapping each table and figure to its generating script, and a pip requirements file. Reproduces: Tables 1-6 and Figures 1-5, including the engine-level coverage bootstrap and the effective-sample-size analysis reported in Section 4.6. The C-MAPSS and N-CMAPSS DS02-006 datasets are third-party public data from the NASA Prognostics Center of Excellence and are not redistributed here; see data/README.md.