Environment. Mission is harder — the aircraft is fine.
Distinguishing a harder mission from a less-healthy aircraft is one of the deepest problems in small aerospace. Kyte X4 exists to attack that problem.
Kyte X4 continuously observes eight channels of its own behaviour. Each channel has a characteristic shape when the aircraft is healthy — and a different shape when it isn't.
An aircraft using more power than expected may be experiencing any of eight things — some coming from the world, some from itself, some from the sensors that measure it. The challenge is distinguishing them without ever getting a "correct" label in real time.
Environment. Mission is harder — the aircraft is fine.
Mass shifted. Fully expected extra energy consumption.
Aircraft has degraded. Endurance should shrink.
Efficiency loss over time. Real, gradual, hidden.
Less usable energy at the same nominal state of charge.
Mechanical loss. The vibration signature shifts.
The measurement is wrong — the aircraft isn't.
The most honest answer. Trigger investigation, not a diagnosis.
The X1–X3 model tells us what a healthy aircraft ought to do. The residual between prediction and reality carries the diagnostic signal. Reasoning about that residual, and feeding the interpretation back into an updated endurance estimate, is what makes X4 different.
From the aircraft model built in X1 – X3.
Measured signals in real time.
The disagreement between the two.
Which cause best explains this residual?
Update the usable-endurance estimate.
This becomes the foundation of FlightGuardian — an aircraft that can explain itself.