Part 6/11:
A core focus is continuous engine health monitoring using multi-dimensional analytics. For instance, multiple signals feed into anomaly detection models that identify potentially problematic behavior in real time.
This human-AI collaboration involves subject matter experts validating model outputs, ensuring safety and accuracy. Over the past decade, this approach has led to:
60% improvement in early anomaly detection lead times
45% increase in detection rates
50% reduction in false alerts
Such enhancements streamline maintenance, minimize downtime, and improve fleet reliability.