Model complexity
Instantaneous speed fluctuations of thermal engines. Linear modeling of drivetrain

The complexity of a model depends on the degree of precision expected from the results. In general, what we expect from a model are trends or studies of sensitivities in relation to this or that parameter, rather than conclusions in relation to absolute values. We must therefore always take care to build a model that is just right, firstly because a heavy model requires powerful calculation tools, but also because interpreting the results is far more delicate. Let's take the example of the kinematic chain shown in figure 37. We have adopted a 5-inertia model to study the main vibration modes we are likely to encounter. But let's imagine we're mainly interested...