Use of engine crankshaft speed for determination of cylinder pressure parameters

The present study proposes the use of a MLP neural
network to model the relationship between the engine
crankshaft speed and parameters derived from the incylinder
pressure cycle. This allows to have an indirect
measure of cylinder pressure permitting a real time
evaluation of combustion quality. The structure of the
model and the training procedure is outlined in the paper.
The application of the model is demonstrated on a
single-cylinder engine with data from a wide range of
speed and load. Results confirm that a good estimation
of combustion pressure parameters can be obtained by
means of a suitable processing of crankshaft speed
signal.