Accurate measurement of key variables plays an important role in on-line monitoring and
control optimization of industrial processes. Soft sensor provides an effective method for …

In the commercial chemical process, many primary product variables cannot be measured
online, and soft sensor is an important means to solve this problem. Soft sensing modeling is …

In order to improve the estimation accuracy of a soft sensor in the process of chemical
production, a combination model for soft sensor is presented based on Gaussian process …

Soft sensors have been widely used in industrial process control to improve the quality of
product and assure safety in production. The core of a soft sensor is to construct a soft …

Accurate soft sensing modeling of complex industrial processes can provide operation
guidance for improving the product quality. However, most modeling methods cannot mine …

Automation in industries offers the benefits of enhancing quality and productivity while
minimizing waste and errors, raising safety and adds stability to the production process …

With the estimation of key quality index in an industrial naphthalene distillation column, a
novel soft-sensor modeling method based on Gaussian process (GP) was proposed for …

The processes of building dynamic and static relationships between secondary and primary
variables are usually integrated in most of nonlinear dynamic soft sensor models. However …

Soft sensor technology is an important means to estimate important process variables in real-
time. Modeling for soft sensor system is the core of this technology. Most nonlinear dynamic …

Fermentation process is a time-varying, nonlinear and multivariable dynamic coupling
system. Therefore, it is difficult to directly measure the key biological variables using …