Physics-Informed Optimization of Quality Factors in Resonance-based Sparse Signal Decomposition for Motor Bearing Fault Diagnosis
To address the limitations of existing Resonance-based Sparse Signal Decomposition (RSSD) - which relies on manually selected quality factors - and data-driven methods lacking physical interpretability, this paper proposes an optimization method incorporating physical information for adaptive fault feature extraction i...