Predictive maintenance for bearings
Predictive maintenance for bearings uses vibration analysis and ultrasound to detect lubrication problems and the earliest stages of bearing defects — often months before failure — because the bearing is the single most common root cause of rotating-equipment breakdowns.
Why monitor bearings
Bearings fail in a predictable sequence, and that sequence is visible in data long before the bearing seizes. Because a failed bearing usually takes the machine — and sometimes the shaft — with it, catching the early stages is one of the clearest wins in all of predictive maintenance.
Common failure modes
- Inadequate or contaminated lubrication
- Spalling and pitting of races and rolling elements
- Fatigue cracking
- Electrical fluting (from VFD-driven motors)
- Overload and misalignment damage
Which monitoring techniques fit
- Vibration analysis (envelope/demodulation for early defects)
- Ultrasound for the very earliest lubrication and defect stages
- Bearing temperature monitoring
- Oil/grease analysis
What the data shows
Ultrasound and high-frequency envelope vibration rise first, while the bearing is still serviceable; defect frequencies then appear and grow; temperature rises late. The earlier you act, the cheaper and more planned the repair.
Related guides
Predictive maintenance: a practical guide
What predictive maintenance is, how it differs from preventive maintenance, which techniques fit which assets, and how to start without boiling the ocean.
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