Data Analysis Techniques in Model Testing,
Abstract
The extensive use of high speed digital data acquisition systems and computer systems has revolutionized model testing procedures. In particular most forms of data analysis can be performed within seconds or minutes after a test. Criteria for selection of sampling and filtering rates and record lengths may now be established on the basis of known error estimation formulas and desired accuracy rather than on instrument limitations. Notational conventions are recommended and formulas for estimating errors and validity of test results are presented. Applications of modern data analysis methods to model testing are discussed. Particular emphasis is placed on fast correlation and spectral analysis of time series and how these methods may be used to extract more useful information from model test data. Specific examples taken from recent model tests are presented. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1983
- Accession Number
- ADP003836
Entities
People
- J. H. Hoste
- J. T. Dillingham