Statistical Prediction of Maximum Time-Variant Inlet Distortion Levels

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1975
Accession Number
ADA004104

Entities

People

  • J. L. Jacocks
  • K. R. Kneile

Organizations

  • Arnold Engineering Development Complex

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Aircraft Design
  • Aircrafts
  • Boundary Layer
  • Computational Science
  • Computer Programs
  • Computers
  • Data Acquisition
  • Data Science
  • Engineering
  • Frequency
  • Information Processing
  • Information Science
  • Probabilistic Models
  • Random Variables
  • Statistics

Readers

  • Computational Modeling and Simulation
  • Radio communications and signal processing.
  • Statistical inference.