پديدآورندگان :
garaj Lin lingarajknr@gmail.com M-Tech student, Mechanical Department, K.L.S Gogte Institute of Technology Udyambag-Belagavi, Karnataka, India , Nadakatti M.M mnadakatti@git.edu Professor, Mechanical Department, K.L.S Gogte Institute of Technology Udyambag-Belagavi, Karnataka, India , Jagathi B.S bsjagati@git.edu Professor, Mechanical Department, K.L.S Gogte Institute of Technology Udyambag-Belagavi, Karnataka, India
چكيده فارسي :
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.