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12 Types of Bearing Failures and How to Prevent Them

Bearing failures are a common frustration that facility managers face regularly. Prevent common types of bearing failures through condition monitoring.

Date Published
March 19, 2026

A System-Level View of Bearing Failures

It’s crucial to understand that most of the time, bearing failures aren’t a component issue—they’re systemic. Yes, sometimes the issue could be a defective product or failure due to age, but more often than not, bearing failures are related to maintenance strategy.

Common systematic bearing failure can be the result of:

  • A mistake during installation
  • Defects in the product
  • Inconsistent maintenance schedules
  • Employee mistakes (mishandling, using the wrong lubrication, overloading, etc.)
  • Operating conditions (working machines too hard or nonstop operations)

12 Common Types of Bearing Failures

Here are the most common bearing failures and their causes.

Failure Type Common Root Causes Typical Impact
Fatigue SpallingRolling Contact Fatigue End-of-life, overload, misalignment, inadequate lubrication film, surface-initiated fatigue from contamination or poor lubrication Progressive degradation rising vibration/noise overheating eventual seizure or catastrophic failure
WearAbrasive + Adhesive/Smearing Dirt/water/chemical ingress, poor filtration/seals, wrong lubricant/viscosity, light load + high speed Clearance increase heat increasing rapid surface damage increased noise shortened life or sudden failure
BrinellingTrue + False Shock/impact during install, vibration while stationary, micro-movement in storage/transport Stress risers/indentations early noise/vibration premature fatigue/spalling
Lubrication Starvation Under-lubrication, blocked paths, poor relube intervals, grease channeling Metal-to-metal contact increased heat + rapid adhesive wear seizure
Over-Lubrication / Churning Excess grease, wrong grease, no purge path, over-frequent greasing Drag + temperature rise lubricant breakdown secondary wear/failure
ContaminationWater + Solids Washdowns, poor sealing, condensation, poor lube handling/filtration Corrosion + film loss + debris denting/spalling fatigue spalls
Corrosion / Fretting Corrosion Moisture/chemicals, micro-motion at fits, poor storage/protection Pitting + debris generation rising vibration early fatigue/wear failures sudden failure risk
Electrical Fluting / EDM Damage Stray shaft currents (often VFD-related), poor grounding/bonding, lack of insulation/grounding rings Gradual pitting/fluting visible raceway damage during routine inspection rising noise/vibration eventual failure if left unaddressed
Misalignment-Induced Failure Coupling/shaft misalignment, soft foot, unaccounted thermal expansion Uneven loading accelerated fatigue/spalling recurring failures unless corrected
Unbalance / Dynamic Overloading Rotor imbalance, buildup, bent shaft, uneven loads Higher dynamic loads faster fatigue/wear collateral damage to seals/couplings
Improper Fit / Looseness Incorrect tolerances, poor mounting, worn housings/shafts Creep fretting at fits loss of alignment repeat failures
Cage / Retainer Failure Poor lubrication, contamination, excessive speed, shock loads, incorrect bearing selection Loss of guidance rapid internal damage increased sudden catastrophic failure

Preventing Bearing Failures with Condition Monitoring

The best way to prevent bearing failures is through consistent inspection and maintenance. However, it can be difficult to know when something is an actual issue versus just making an odd noise or two.

Condition monitoring reduces uncertainty when it’s time for operational maintenance. It detects potential issues by analyzing bearing damage symptoms, such as:

  • Vibration: Changes in vibration patterns can alert maintenance teams to check out that piece of equipment.
  • Temperature: High temperatures indicate equipment overwork or another issue.
  • Lubrication-System Pressure: If pressure levels are unusual, condition monitoring will alert your maintenance team to inspect the circulating oil systems.
  • Oil analysis: This analysis detects unusual particles in the oil and prevents contamination.
  • Acoustic emission analysis: High-frequency sounds can sometimes detect very early friction or impact events. By using acoustic emission analysis and filtering, you get more accurate results.
  • Infrared analysis: This analysis focuses on detecting heat specifically within the bearing instead of the entire piece of equipment.
  • Machine learning/AI: Machine learning can read and synthesize all the historical data to present more accurate predictions for maintenance teams to follow.

Condition monitoring can present findings, which are sent to an AssetWatch engineer specialist. To reduce false alarms, your specialist will only contact you if there are problems that need to be addressed. They offer guidance on next steps, such as:

  • Lubricating specific bearings (ensuring you’re using the right kind and amount of lubrication)
  • Cleaning the bearing and housing
  • Ensuring proper alignment between the shaft and bearing
  • Inspecting for any contamination issues
  • Adjusting any load issues
  • Replacing any pieces showing cracks, etches, pitting, or grooves

Condition monitoring can not only alert you when you need to perform maintenance but also save you time. It uses real-time data and risk-ranked alerts to support smarter planning and fewer emergencies. This means a consistent reduction in downtime as well as after-hours maintenance calls. Condition monitoring can help you go from a reactive maintenance schedule to a proactive one.

Recommended: True ROI of Condition Monitoring and Condition Based Maintenance: Case Studies Beyond the Hype

Is a Bearing Failure Analysis Worth the Effort?

If you have a series of unusual bearing failures, then yes, a bearing failure analysis is worth it. A bearing failure analysis is all the data you’ve collected and the conclusions about what could have caused the failure.

For example, is there a string of failures due to consistent underlubrication? That could be a sign of a training gap within your maintenance team. Meanwhile, recurring misalignment often points to a root cause beyond the bearing itself. Whether that's a training gap in alignment practices or a structural issue such as soft foot or frame flex under load.

A bearing failure analysis usually consists of:

  • A visual inspection
  • Lab analysis of particles and oils in and around the bearing
  • Operating data
  • Failure history

Depending on the results of your analysis, you may be able to prevent future failures.

A Little Prevention Goes a Long Way

Bearing failures tend to share similar causes that can be prevented with routine maintenance. Focusing on proactive action instead of reactive maintenance can save you hours of downtime, out-of-hour calls, and money.

Learn how to optimize your maintenance system through condition monitoring with AssetWatch today.

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