The development of the Internet of Things, cloud computing, and artificial intelligence has
given birth to industrial artificial intelligence (IAI) technology, which enables us to obtain fine …

The accurate online soft sensor in complex industrial processes remains challenging
because underlying spatial coupling relations among process variables have not been …

Discrete and delayed laboratory analyses of product quality restrict the operational
optimization of industrial processes. However, it is challenging to build an accurate online …

Data-driven-based soft sensors play significant roles in predicting key quality and optimizing
the production process. Considering the difficulty and cost of variable acquisition, these …

Missing data are quite common in the industrial field. Since most data driven methods used
in these applications rely on complete and high-quality data set, it is important to handle the …

Accurate process monitoring plays a crucial role in thermal power plants since it constitutes
large-scale industrial equipment and its production safety is of great significance. Therefore …

Nonlinearity and uncertainty are two critical characteristics when process data modeling is
applied to soft sensor. In this paper, a supervised variational auto-encoder (SVAE) is …