Redundancy-Aware Feature Screening and Ordinal Monitoring for Industrial Hydraulic Streams

This upload contains the source code, datasets, and supplementary materials accompanying the manuscript "Redundancy-Aware Feature Screening and Ordinal Monitoring for Industrial Hydraulic Streams." The work proposes a Correlation- and Redundancy-aware Feature Screening (CRFS) method combined with a CNN-LSTM architecture and a depth-based ordinal monitoring framework for industrial hydraulic condition monitoring. The repository enables reproducibility of the experiments presented in the manuscript.