Detect wheel bearing failures before they destroy your tires using advanced oil analysis alarms. Our system monitors 21 wear metals with lab-grade precision, providing 4-6 weeks advance warning of impending failures, complementing condition-based triggers for proactive maintenance.
Set alarms to monitor oil condition and predict tire-related failures.
Oil analysis alarms are automated alerts triggered by deviations in oil condition metrics, indicating potential tire-related failure modes in heavy vehicles.
By analyzing oil samples for contaminants, wear metals, and viscosity changes, fleets can identify issues like wheel bearing degradation or hub failures before they lead to tire damage or breakdowns.
| Parameter | Threshold | Failure Mode |
|---|---|---|
| Wear Metals (Fe) | >100 ppm | Bearing Wear |
| Contaminants (Si) | >25 ppm | Dust Ingress |
| Viscosity | ±10% change | Lubrication Failure |
| Water Content | >0.2% | Seal Failure |
| Total Acid Number | >3.0 mg KOH/g | Oil Degradation |
Key tools and processes to implement effective oil analysis for tire health prediction
Step-by-step guide to deploying oil analysis alarms for tire health prediction
Install sampling ports and train staff on proper procedures.
Set thresholds based on equipment specs and historical data.
Connect with telematics for real-time monitoring.
Track alarms and adjust thresholds for accuracy.
Fleets implementing oil analysis alarms achieve significant reductions in failures and maintenance costs.
Reduction in bearing failures
Decrease in unplanned downtime
Extension in oil life
Accuracy in wear detection
"Oil analysis alarms reduced our tire-related failures by 70% and saved $350K annually in replacements and downtime."
Maintenance Director, Heavy Haul Inc.
Get answers to the most frequently asked questions about implementing oil analysis alarms
Wear metals, contaminants, viscosity, water content, and acid number are key parameters. For related monitoring, see our guide on vibration thresholds.
Samples should be taken every 250-500 hours or 10,000-25,000 miles, depending on operating conditions. Adjust based on condition-based triggers.
Initial costs include lab equipment ($5,000-$15,000) and software ($2,000-$10,000). Ongoing costs are $20-50 per sample. ROI is typically achieved within 6-12 months. Use our ROI calculator for estimates.
Yes, integration with telematics enables real-time monitoring and automated alerts. Learn more in our telematics signal map guide.
Alarms achieve 85-95% accuracy in detecting wear when thresholds are properly set and samples are consistent. For advanced analytics, see our guide on AI setup and training.
Technicians need 4-8 hours of training on sampling and interpretation. Managers require 1-2 days for alarm management, with ongoing support provided. For predictive model integration, check our failure probability models guide.
Explore additional tools and guides for tire health prediction
Discover advanced AI-driven solutions for fleet maintenance
Join leading fleets using oil analysis alarms to prevent wheel bearing failures and extend tire life by 45%. Get 4-6 weeks advance warning of component failures that could destroy your tires.
21-element metal detection accuracy
24-hour critical alarm response
$2,800 average savings per catch