The importance of FFT and BCS spectrums analysis for diagnosis and prediction of rolling bearing failure

Dynamic equipments, in their vast majority, have rolling bearings in their components. Measurement and analysis of the values of rolling bearings vibration, on time, represent a safe and effective measure for identifying the state of wear of bearings, and to predict the evolution of their technical condition and of the entire equipment. This paper presents the detection of causes which lead to the damage of rolling bearing by using FFT (Fast Fourier Transformation) and BCS (Bearing Condition Signature) spectrums, by measuring its housing vibrations (self-aligning ball bearing, ZKL 1205K type) mounted in a test rig. The results presents the analysis mode of FFT and BCS spectrums in order to obtain beneficial information for the detection of that unbalance caused by loading, of the implemented defect on rolling bearing raceway and of bearing damage mode under the action of these causes.