Space Systems Intelligence

PZC · Aerospace & Deep-Tech Engineering

Space Systems Intelligence

From telemetry to a defensible understanding of physical state.

Telemetry can reveal a change without establishing its cause. PZC frames the harder question: which physical explanations can the available measurements distinguish, and what remains unresolved?

Conceptual spacecraft sensing and radio-frequency instrument assembly

Engineering questions

Detect change

Anomaly detection and change detection ask whether observed behaviour differs from a stated baseline. Data quality, operating conditions and uncertainty define the limits of that comparison.

Separate explanations

Fault isolation and identification require a stronger evidential basis than detecting an anomaly. We examine measurement architecture, model assumptions and competing physical explanations before drawing conclusions.

Estimate physical state

State estimation and sensor fusion connect observations to a model of the system. Geometry, observability and uncertainty determine which parts of that state can be meaningfully constrained.

Focus areas

Telemetry intelligence · Spacecraft health monitoring · Physics-informed diagnostics · Sensor fusion · Uncertainty-aware monitoring

Scope & evidence

Capability framework and R&D focus. Specific scope, data requirements and validation status are established for each engagement.

Public reference context: NASA Systems Engineering Handbook · NIST guidance on measurement uncertainty. References describe established disciplines; they are not endorsements or validation of PZC technology.