Changkun Han

Sparse Impulse Feature Learning for Bearing Fault Extraction

Bearing monitoring is typically based on signals acquired from accelerometers, where the operational status is inferred by analyzing potential signal features. In practical situations, fault features are often weak and obscured by background noise, which significantly increases the difficulty of weak feature extraction...