Nonstationary Spectral Analysis for Linear Dynamic Systems.

Abstract

R REPRESENTATIONS OF SECOND-ORDER STATISTICS OF NONSTATIONARY PROCESSES ARE STUDIED WITH EMPHASIS ON 'INSTANTANEOUS' AND EVOLUTIONARY SPECTRAL DENSITIES. An integrated procedure for the time dependent spectral response calculation for linear systems with digital analysis of input data is presented for excitation processes which are formed from the product of deterministic envelopes and stationary random processes. Linear response is approximated using finite sum Fourier series for the input envelope, the Fourier coefficients being estimated directly from input time records. Bounds on the spectral density of the underlying stationary excitation process are calculated using discrete Fourier transform techniques which take advantage of the fast Fourier transform algorithm. Both the data analysis and linear response relations offer advantages over previous methods in simplicity and computational effort. Examples using pyrotechnic shock time histories and artificial earthquake motions illustrate the procedure. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 31, 1973
Accession Number
AD0770997

Entities

People

  • William R. Davis Jr

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Data Analysis
  • Data Science
  • Discrete Fourier Transforms
  • Excitation
  • Fast Fourier Transforms
  • Fourier Series
  • Information Science
  • Linear Systems
  • Order Statistics
  • Stationary
  • Statistics

Fields of Study

  • Engineering

Readers

  • Calculus or Mathematical Analysis
  • Control Systems Engineering.
  • Neural Network Machine Learning.