An interval precise integration method for transient unbalance response analysis of rotor system with uncertainty

Effects of Bounded Uncertainties on the Dynamic Characteristics of an Overhung Rotor System with Rubbing Fault

“…A hollow-shaft rotor with overhung disk was considered in this study, which is shown in Figure 1. The system is simplified from an oxygen pump and represents a typical overhung configuration widely employed in industry [13,34]. It is supported by two isotropic linear bearings with the same stiffness in both x and y directions.…”

“…where F x and F y are the nonlinear forces induced by the rubbing, ω is the angular speed, and e is the imbalance on the disk. The stiffness parameters k ij , i, j = 1, 2 are elements derived using the TMM from the left side of the rotor to the right side [34]. For a predefined clearance δ, if the radial deflection of the disk geometric center r = x 2 + y 2 is less than the clearance value, then F x = F y = 0 and the rotor system will vibrate linearly.…”

“…Dimarogonas was the first to introduce interval analysis into rotordynamics [33]. Fu et al [28,34] developed the interval precise integration method to calculate the uncertain transient responses and also a surrogate for the nonlinear dynamics of a cracked rotor. The stochastic response of a rubbing rotor/stator system was investigated by Zhang et al [35].…”

Concept of automated fault detection of large turbomachinery using Machine Learning on transient data

“…Transient data are, next to steady state data, a diagnostic tool, to assess the dynamic state of the machine [21]. Steady state operation is condition at the rated speed and within load operation.…”

“…Thus, such a method can bring significant benefits to the user. It can reduce the required workload of a highly skilled vibration experts and it can also provide better coverage of the data, as now all the data can be analysed by an algorithm regardless of the availability of the human expert giving the outcome with as little error as possible under disturbed or uncertain data [21], [22]. The ML methods can provide the user with an assessment of the technical state of the machine.…”