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Equipment analog telemetry behavior is used to determine the operational behavior of equipment on-board multi-million and multi-billion dollar spacecraft. Some measurement behavior is driven by the shape of the orbit or the trajectory such as thermal measurements while others are affected by the temperature changes that must occur. During the manufacturing and test of spacecraft, there is no requirement for the builder to generate predictions for normal telemetry behavior for comparison with actual telemetry behavior to suspect on-board equipment may be operating in a manner than may render them useless requiring the backup unit to be employed. Prognostic technology uses predictive algorithms for the identification of deterministic behavior that is embedded in completely normal appearing telemetry from fully functional equipment. The predictive algorithms used to define normal behavior from which deterministic behavior is identified can be adapted to generate normal spacecraft telemetry behavior for satellites are in orbit about a moon or planet or during interplanetary travel. Time-series analog engineering data (telemetry) from orbiting satellites and interplanetary spacecraft are defined by harmonic and non-harmonic influences, which shape it behavior. This paper explains how spectrum analysis can be used to understand and quantify the fundamental behavior of spacecraft analog telemetry and relate the behavior’s amplitude, frequency and phase to its time-series behavior through Fourier analysis. Fourier analysis can be used by the mission operations engineering staff as a tool to confirm whether on-board spacecraft/satellite equipment is performing as expected thus decreasing risk of failure and increasing safety and mission assurance for spacecraft and satellite equipment that has never been observed from space before.

Adapting Fourier Analysis For Predicting Earth, Mars And Lunar Orbiting Satellite's Telemetry Behavior