Zhao-Hong Cao

Deep transfer diagnosis based on MTF image and temporal signal fusion with enhanced interpretability for rotating machinery

An unsupervised cross-domain diagnosis framework that fuses one-dimensional vibration signals with two-dimensional Markov transition field images within a deep transfer-learning pipeline is proposed that provides activation-based evidence related to physical fault mechanisms.