Prevent Bearing Failures Before They Become Catastrophic

The Problem with Traditional Monitoring

Conventional bearing monitoring methods rely on manual inspection or indirect indicators. These approaches often miss failures that develop quickly and can lead to costly vessel downtime, emergency dry-docks, or even catastrophic loss of propulsion.

Maritime bearings ( propulsion shaft, thruster, and auxiliary machinery bearings) are:

  • Mission-critical and failure-prone

  • Tucked In, not field servicable

  • Failures cost >$500k per incident 

    • (downtime, emergency dry-dock).

  • Environmental risk: oil leaks from stern tubes → regulatory + cleanup costs.

  • Insurance demand

    • Insurance pushing for condition-based monitoring (Bearing Wear Monitoring)

  • 540 urgent marine bearing repairs in 3 years 

    • = ~15 incidents per month globally.

Why IoT Bearings

  • Prevent Failures at Sea – Catch problems early with continuous, real-time monitoring.

  • Reduce Downtime – Plan bearing replacements only when they’re truly needed.

  • Lower Costs – Avoid the enormous expense of emergency repairs and off-hire time.

  • See Beyond the Bearing – Data reveals shaft misalignment, hull deflection, and abnormal loading conditions.

Maritime Bearing Monitoring

Stern-tube and thrust bearings are the heart of marine propulsion systems. Failures here can immobilize vessels, disrupt schedules, and create environmental risks.

  • Embedded temperature, vibration, and load sensors provide early warnings.

  • Enables predictive maintenance and reduces the frequency of mandatory shaft withdrawals.

  • Designed to align with class society notations (DNV, ABS, Lloyd’s) for condition-based maintenance.

  • Supports operators in meeting sustainability and safety goals through reduced oil leakage and optimized service life.

Marine Autonomy

As the industry advances toward hybrid-electric and autonomous vessels, reliable propulsion monitoring is critical. IoT Bearings’ integrated systems support this future by:

  • Providing real-time bearing and shaftline data for digital twins and autonomy control systems.

  • Monitoring loads, alignment, and lubrication health continuously to prevent mission-critical failures.

  • Enabling safer, greener autonomous operations, where human oversight is minimal but system health is paramount.

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