CanadaManufacturing2018 – ongoingTeck Resources
Haul-truck engine failure prediction with ClearObject
Teck received 10 predictive engine models in 3 months and used technician feedback to refine alerts
Problem
Critical engine failures took haul trucks out of operation. Teck wanted earlier warnings to reduce unplanned downtime.
Approach
ClearObject delivered models for component failures, anomalies and engine performance. Truck health data fed an alarm-management system. The partners used feedback from technicians in service to refine notifications and reduce false alerts.
Results
Takeaway
Model delivery was followed by continuing refinement. ClearObject did not report a measured reduction in failures or downtime.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Partner co-development
- Evidence
- Vendor case study
Sources
Source summaries
ClearObject described delivered predictive-maintenance models and continuing support using technician feedback. It reported development speed, without quantifying operational savings.
Full details are in the original sources.
