Sentence examples for model are typically from inspiring English sources

Statistical indicators, the time synchronous averaging (TSA) method, and an autoregressive (AR) model are typically used in the fault diagnosis of rotating machinery [4, 7, 8, 9].

The parameters of an SEA model are typically derived by considering wave propagation within each subsystem.

The relaxed model and the proposed OPF model are typically equivalent in transmission systems.

Data used in the development of a driver model are typically collected from real-world driving experiments or driving simulator studies.

The parameters in the model are typically properties of the network that have a high uncertainty (e.g., IPRs) or empirical factors employed by the multiphase pressure drop correlations.

For example, for pharmacokinetic, growth, and other data, both the response and the regression model are typically transformed to achieve approximate within-individual normality and constant variance on the new scale; however, the choice of transformation is often made subjectively or by default, with adoption of a standard choice such as the log.

Firstly, concerning verification, a UML model is typically not the input language of a verification tool.

Design spectrum (DS) model is typically specified in a seismic code of practice for structural design.

The surface air temperature from a numerical model is typically expressed as the temperature at a height of 2 m above the surface.

Similarly, replacing a part of a model with a functionally equivalent part from another model is typically difficult.

The validity of such a model is typically restricted to input signals that are limited in amplitude.