A combined approach for condition monitoring of steel rollers using vibration, sound and wear particle analysis

This paper deals with a combined approach for condition monitoring the surface durability of cryogenically treated steel rollers using vibration sound and wear particle analysis in a Rolling Contact Fatigue (RCF) test rig. The vibration signals were analyzed using Fast Fourier Transform (FFT), Cepstrum and wavelet analysis for different test cycles. The vibration level and the sound pressure level at rolling contact frequency and its harmonics give a qualitative estimation of the wear and pitting occurring on the roller surfaces. The type of wear is found using periodic oil analysis.