Jie Zhou

Fast multivariate all time-scale decomposition method and its application in gear fault diagnosis

Aiming at the limitations of existing multivariate signal decomposition methods such as fast multivariate empirical mode decomposition (FMEMD) and completely adaptive projection multivariate local characteristic-scale decomposition (CAPMLCD) for gear fault diagnosis, this paper proposes a fast multivariate all-time-sca...

GMPF-LLM: gateless multi-physical fusion large language model for fault diagnosis

This work provides an effective framework for integrating multi-physical field data with LLMs in industrial fault diagnosis by constructing a parallel multi-physical feature extraction and alignment mechanism to effectively decouple steady-state harmonics, background residuals, and transient impulses.

Adaptive Weighted Feature Mode Decomposition and Its Application in Bearing Fault Diagnosis