How XMPro (various mines) raised truck availability through asset health monitoring
Condition indicators and anomaly scores surface engine, hydraulic and drive issues early. Maintenance shifts from reactive to planned.
Context
The operation faced recurring unplanned maintenance activities that reduced equipment availability and increased operational costs. Failures often went undetected until late in the cycle, causing reactive interventions and unnecessary downtime. A structured way to anticipate issues and prioritize work was required.
Solution
The site introduced composite health scoring models that integrate multiple sensor inputs and equipment histories. These models continuously evaluate asset condition, while alerting systems recommend targeted maintenance actions to address emerging issues before escalation. This created a more proactive and data-driven maintenance workflow.
Results
The implementation led to higher equipment availability and lower maintenance costs through earlier detection of degrading conditions. Resources were allocated more efficiently, and fewer interventions were reactive.
Data Inputs
CAN bus, vibration, temperature, pressure