Patent ID: 6460408
Filing Date: 2002-10-08
Classification: F02D,G01M

Abstract:
A method for determining internal pressure in the cylinders of a specific internal combustion engine based on measured structure-borne noise of the internal combustion engine by using a neural network, comprising the acts of:training the neural network during a training phase using training data wherein said training data includes signals representing training measured structure-borne noise values which are paired with associated signals representing corresponding training measured cylinder pressure values; testing the neural network during a recall phase by using test data signals representing test measured structure-borne noise value wherein said neural network outputs determine test cylinder pressure value; comparing said determined test cylinder pressure values with known test cylinder pressure values to provide a difference error; and if the measured error is below a predetermined error limit, measuring and providing to said neural network, structure-borne noise measurements of said specific internal combustion engine wherein said neural network outputs a determination of cylinder pressures of said specific internal combustion engine.