Abstract: In data-driven fault diagnosis, feature selection not only reduces model complexity but also plays a pivotal role in improving prediction accuracy. Existing studies typically employ binary ...

Abstract: This paper presents a redesigned and modular implementation of the Adaptive Hybrid Feature Selection (AHFS) algorithm in a Python environment, originally developed in MATLAB. The new version ...