Method for predicting the maintenance of components of an internal combustion engine using a structure-borne noise sensor

摘要

The method according to the invention for the maintenance prediction of components of an internal combustion engine by means of structure-borne noise sensor (2) offers the possibility of a maintenance forecast for analyzed components, in particular for the valve clearance (17) as a measure of the valve train wear of gas exchange valves. For this purpose, measurement signals from a structure-borne noise sensor (2) are first synchronized (10), decoded (11) and subjected to a signal transformation (12) in an associated evaluation electronics (3). The spectrogram (13), which is characteristic of the checked working cycle of the internal combustion engine and which is the result of the signal transformation (12), serves as an input variable for a regression model (14) which is specially adapted to the internal combustion engine used and which calculates the current valve clearance (17) and the others Development of this wear mechanism is forecast. If the method according to the invention is applied to identical internal combustion engines which are used as drives for vehicles (1) of a vehicle fleet, the resource coordination for the maintenance of the entire fleet can thus be improved and a specific maintenance forecast can be made.