Xing-Fa Liu

Wavelet-patch embedding and two-stage attention fusion for multi-sensor mechanical fault diagnosis

An interpretable multi-sensor fault diagnosis framework, termed LCWC-DAMiT, is proposed that introduces a learnable continuous wavelet convolution (LCWC) module to incorporate time–frequency priors into patch embedding and focuses on physically meaningful fault characteristic frequencies and informative sensor location...