VAVFormer: A general interpretable fault diagnosis framework based on variational fusion and adaptive volatility attention

With the rapid advancement of deep learning and sensing technolog y, Transformer models driven by multi -source information ha ve attracted significant attention in the research of rotating machinery fault diagnosis . However, existing