Adaptive soft sensor model using online support vector regression with time variable and discussion of appropriate hyperparameter settings and window size.

Highlights: [•] Soft sensors are widely used to predict process variables in chemical plants. [•] Our goal is to achieve high prediction accuracy of soft sensors for new data. [•] We employ the online support vector regression (OSVR) and time variable. [•] The hyperparameters and the window size of the OSVR model were discussed. [•] The performance was confirmed with simulation data and real industrial data. [Copyright &y& Elsevier]