Da-Zheng Peng

Time–frequency feature-level independence contrastive learning with semantic consistency learning for mechanical fault diagnosis

In modern industrial systems, vibration signals acquired by sensors are frequently subject to varying degrees of distortion and degradation. Furthermore, the high cost of annotation in industrial settings leads to a severe scarcity of labeled fault samples. In recent years, self-supervised contrastive learning shows gr...