I. Introduction
In the field of vibration-based condition monitoring for gearboxes [1], a promising vibration signal processing method is time series model-based approach (TSMBA) [2]. The general steps of TSMBA are as follows: (a) Identify a time series model to represent the baseline vibrations when the gearbox is healthy. (b) Construct an inverse filter based on the identified model. (c) Remove the baseline vibration components from the signals-of-interest using inverse filter. A so-called “residual signal” can be subsequently obtained. (d) Assess the health condition of the gearbox through further analyzing the residual signal, e.g., calculating statistic indicators [3].