Condition-based maintenance (CBM) represents a fundamental shift from time-based to condition-based decision making. Rather than replacing bearings every 6 months regardless of condition, CBM uses vibration analysis, oil analysis, thermography, and other techniques to determine actual equipment health. AI scheduling integrates CBM findings to optimize maintenance timing—performing work when needed, not before or after.
CBM Technologies
- Vibration Analysis: Rotating equipment health monitoring
- Oil Analysis: Lubricant and wear particle testing
- Thermography: Infrared heat pattern detection
- Ultrasound: Leak and bearing defect detection
AI Integration
AI scheduling automatically incorporates CBM findings, adjusting maintenance intervals based on actual equipment condition rather than arbitrary time schedules. This eliminates both premature and overdue maintenance.
Implementation Steps
- Equipment criticality assessment
- Technology selection for each asset type
- Baseline data collection
- Alert threshold establishment
- Scheduling system integration
30%Reduction in maintenance costs with condition-based maintenance
ROI and Benefits
- Cost Reduction: Eliminate unnecessary PM tasks
- Failure Prevention: Catch problems before failure
- Planning: Better visibility for maintenance scheduling
- Asset Life: Extended equipment operating life
Implement CBM at Your Facility
See how AI scheduling can integrate condition-based maintenance for optimal results.
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