The relationships between the grain size of ferromagnetic material and the strength and waveform characteristic parameters of Barkhausen noise (BN) were studied.

Finally using the neural network method to extract the wear particle image waveform characteristic and realize automatically distinguishing the wear particle image.

First reflection waveform characteristic parameters that exhibit lithologic variation are determined by defining geological characters of seismic horizon with the aid of waveform analysis.