Application of deep neural network and generative adversarial network to industrial maintenance: A case study of induction motor fault detection

As data visibility in factories has increased with the deployment of sensors, data-driven maintenance has become popular in industries. Machine learning has been a promising tool for fault detection, but the problem is that the amount of fault data is much less than that of normal data which causes ... View More