The paper presents an effective method of detecting the state of knock, using the wavelet analysis. This, as a time-frequency method, is applied to non-stationary signals as those provided by the pressure sensors in the combustion chamber and engine vibration block. The advantages of wavelet analysis can be materialized by local detailing, meaning that it can be taken only a part of the signal, in our case, that part which contains essential characteristic of knock. The method is based on pattern recognition using a neural network type called wavelet network. The experimental results confirm theoretical assumptions of work regarding this type of knock’s detection and create premises for further deepening of the research field.

Keywords: Knock detection, Wavelet analysis, Time-frequency methods, Vibration signals, Pressure signals, Prototype.