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 …

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 is an efficacious solution to predict the hard-to-measure target variable by using
the process variables. In practical application scenarios, however, the feedback cycle of …

Data-driven soft sensor is an effective solution to provide rapid and reliable estimations for
key quality variables online. The secondary variables affect the primary variable in …

Soft sensors are widely used to realize highly efficient operation in chemical process
because every important variable such as product quality is not measured online. By using …

In industrial plants, soft sensors are widely used to estimate process variables that are
difficult to measure online. One of the problems of soft sensors is that their predictive …

Due to the difference of variable positions brought by process structure, time-delay exists
between process variables and quality variables. In this paper, this commonly overlooked …

The goal of this paper is to design and implementation of a new data-driven soft sensor that
uses state dependent parameter (SDP) models to improve product quality monitoring. The …

Soft sensors have been widely used in chemical plants to estimate process variables that
are difficult to measure online. One of the crucial difficulties of soft sensors is that predictive …

An adaptive soft sensor modeling method based on weighted supervised latent factor
analysis is proposed. In conventional moving window based adaptive soft sensor, predictive …