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SMOOTHING INTERVAL ESTIMATION USING CORRELATION FUNCTION TYPE FOR A RANDOM PROCESS IN REAL TIME

Saint-Petersburg State University of Aerospace Instrumentation. SMOOTHING INTERVAL ESTIMATION USING CORRELATION FUNCTION TYPE FOR A RANDOM PROCESS IN REAL TIME. Dmitry Bychkov, Mark Polyak. Saint-Petersburg, 2009. Telemetry information. Z-coefficient. - measure of process oscillativity.

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SMOOTHING INTERVAL ESTIMATION USING CORRELATION FUNCTION TYPE FOR A RANDOM PROCESS IN REAL TIME

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  1. Saint-Petersburg State University of Aerospace Instrumentation SMOOTHING INTERVAL ESTIMATION USING CORRELATION FUNCTION TYPE FOR A RANDOM PROCESS IN REAL TIME Dmitry Bychkov, Mark Polyak Saint-Petersburg, 2009

  2. Telemetry information

  3. Z-coefficient - measure of process oscillativity where: n(H,T) – number of crossovers of the H level in time interval T; nmax(T)– number of extremums in time interval T;

  4. Graph of Z- coefficient for two types (sampling frequency 100Hz).

  5. Graph of average values of Z- coefficient (sampling frequency 100Hz).

  6. RESULTS

  7. Graph of n as a function of Fc Fd = 50 Hz

  8. Fd = 100 Hz

  9. Static table (Example for the first type of random process with γ = 50 Hz) Fc α

  10. Practical example

  11. Thank you for your attention!

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