A novel temporal classification prototype network for few-shot bearing fault detection
Abstract In the process of industrial production, bearing fault detection has always been a hot issudza20000528@163.comsolved.At present, the problem of less fault data samples in the field of fault detection has caused great trouble to the research of deep learning.In the application of industrial fault detection, which is difficult to obtain mass