Statistical Prediction of Maximum Time-Variant Inlet Distortion Levels

Statistical Prediction of Maximum Time-Variant Inlet Distortion Levels

Time-variant inlet pressure data from several aircraft designs are analyzed using tools based on Gumbel's extreme-value statistics with the results illustrating the basic randomness of distortion factors. A probabilistic model of distortion is proposed with three parameters to be evaluated by f...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Jacocks, J L, Kneile, K R
Format: Report
Sprache:eng
Schlagworte:
COMPUTER PROGRAMS
DATA ACQUISITION
DISTORTION
FREQUENCY BANDS
Jet and Gas Turbine Engines
JET ENGINE INLETS
MATHEMATICAL PREDICTION
STATISTICAL ANALYSIS
TIME DEPENDENCE
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Zusammenfassung:Time-variant inlet pressure data from several aircraft designs are analyzed using tools based on Gumbel's extreme-value statistics with the results illustrating the basic randomness of distortion factors. A probabilistic model of distortion is proposed with three parameters to be evaluated by fitting to inlet data by the method of maximum likelihood. The effects of data acquisition time, frequency bandwidth, and sampling rate are discussed in context with Moore's similarity parameter to indicate scalability of the dynamic inlet distortion data. Prepared in cooperation with ARO, Inc., Tullahoma, TN. Rept. no. ARO-PWT-TR-74-81.