Abstract:Under the environment of mass-customization, valid samples for a specific target object become fewer and fewer. Thus, Transfer Learning (TL) is widely applied to those data-consuming Deep Learning (DL) and Machine Learning (ML) models to avoid recollecting high-volume training samples from scratch. However, TL-based methods used in fault diagnosis for mechanical rotating components are still in the infancy phase. Poor practicality and usability problems increase the total preparing time. Without online diagnos… Show more
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