Rolling Element Bearing Condition Monitoring using DAQ and MATLAB

Rolling element bearings are crucial components in any machines and monitoring of these bearings condition plays an important role in vibration measurements. Condition monitoring of ball bearings by time-domain and frequency-domain techniques have been analyzed. The objective of present work is to identify the ball bearing defects using vibration signature analysis. The variation in statistical parameters of bearings with and without defect is evaluated at different speeds and load conditions. The analysis using time-domain, frequency-domain and effect of inner race defect on bearing vibrations.