VAE4RSS: A VAE-based neural network approach for robust soft sensor with application to zinc roasting process

Soft sensor plays a progressively significant role in modern industrial processes. However, process variables usually have complex distribution characteristics, which can adversely affect the performance of soft sensor. On the other hand, due to the inevitable presence of noise in industrial data, the effect of traditional prediction models based on point estimates are greatly reduced. To address these problems, this article proposes a variation