Vibration Analysis for bearings
Vibration Analysis is one of the most effective ways to monitor bearings: it catches developing faults — inadequate or contaminated lubrication, spalling and pitting of races and rolling elements, fatigue cracking — early, so repairs are planned rather than forced by a breakdown.
Why vibration analysis suits 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.
How vibration analysis works
Accelerometers capture the vibration signal, which is transformed (typically via FFT) into a frequency spectrum. Because each fault type excites characteristic frequencies — running speed for imbalance, twice running speed for misalignment, bearing-defect frequencies for bearing wear — the spectrum reveals not just that something is wrong but what and how severe. Trending the signal against a baseline turns a vague 'it sounds rough' into a dated, prioritised work order.
Faults it catches on bearings
- Inadequate or contaminated lubrication
- Spalling and pitting of races and rolling elements
- Fatigue cracking
- Electrical fluting (from VFD-driven motors)
- Overload and misalignment damage
What the data shows
Rising amplitude at running speed points to imbalance; high vibration at twice running speed suggests misalignment; energy at specific bearing-defect frequencies indicates bearing wear; broadband high-frequency noise can mean lubrication problems or, on pumps, cavitation.
Related
Predictive maintenance for bearings · Vibration Analysis overview · Vibration Analysis