Application of a dual-channel CNBiG-AM model optimized by SSA in rolling bearing fault diagnosis
Published online on May 04, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
To address the issues of insufficient feature extraction ability and low efficiency of manual parameter optimization in traditional single deep learning models for processing data under variable operating conditions, this study proposes a physics-prior-...
To address the issues of insufficient feature extraction ability and low efficiency of manual parameter optimization in traditional single deep learning models for processing data under variable operating conditions, this study proposes a physics-prior-...