The present paper studies the performance of stacked sparse autoencoder (SSAE) on the multi-fault diagnosis of bearing and shaft components based on image classification. The vibration signal is ...

With the significant advantage of the characterization of essential features by learning a deep nonlinear network, this paper presents a stacked denoising autoencoder algorithm model based on deep ...

This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network backbone is simple 3-layer fully conv (encoder) and symmetrical for decoder. Finally it ...