IEEE

Antinoise Bearing Fault Diagnosis Using Time-Reassigned Multisynchrosqueezing Transform and Complex Sparse Learning Dictionary

Abstract: Bearings are core components of rotating machinery, and their operating status monitoring and fault diagnosis are crucial for equipment health management. Accurately identifying fault ...
IEEE

Research on Fault Diagnosis Method Based on ERPM and the Sparse Dictionary Learning with Label Constrain Associated Fisher Criterion

Abstract: The fault feature of mechanical transmission has the characteristics with weak and concealment, and fault signal is disturbed by the coupling of other components and working environment. A ...