Modeling of dynamic manufacturing processes with slow drift using data-driven approaches is challenging because most data-driven models are trained by off-line data. In this paper, we propose to track slow drift of manufacturing process using an sequential Bayesian Auto-Regression eXogenous (ARX) model with time-variant parameters.