Predictive maintenance
Estimates the remaining life of components and raises a warning before failure. Maintenance is planned against real usage rather than a fixed calendar.
A modular estimation and analytics core for heterogeneous data sources
SPEKTRA is a modular estimation and analytics core that processes data from different sources within one structure. The predictive maintenance, anomaly detection and fleet monitoring applications are built on top of it.
Every unmanned flight leaves a substantial amount of data behind, yet most of it stays in the logs and never becomes an operational decision. SPEKTRA processes those records so they can feed decisions running from maintenance planning through to fleet management.
All three modules use the same estimation core. Adding a use case does not mean rebuilding the infrastructure.
Estimates the remaining life of components and raises a warning before failure. Maintenance is planned against real usage rather than a fixed calendar.
Flags unusual behaviour in flight records. Operators see which flight diverged and where, on a single screen.
Shows the status of many vehicles together. Flight profiles are compared and performance is tracked over time.
These four choices shape the architecture and the way the product is used.
The flow from data source through to delivery is separated into layers, with the application modules sitting on a shared core.
Data sources
Data abstraction layer
Estimation and fusion core
Application modules
Delivery
SPEKTRA is in early access. Get in touch to discuss pilot deployments and data collaboration.