The Classification of Engine Vibration Records Through Quasi-Singular Detection.

Abstract

The report deals with the classification of signals in term of their autocorrelation functions. Such an approach is necessary for the classification of vibration records from reciprocating internal combustion engines because the mean of such records contains no significant information. For each signal the autocorrelation is calculated for a narrow 'window'. The eigenfunctions of ach class are determined and an unknown signal is classified by comparing the norms of its projections to subsets of such eigenfunctions. By working with eigenfunctions corresponding to the smallest eigenvalues the method approximates singular detection. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1970
Accession Number
AD0716600

Entities

People

  • Geng-seng Fang
  • Theodosios Pavlidis

Organizations

  • Princeton University

Tags

DTIC Thesaurus Topics

  • Autocorrelation
  • Chemical Reactions
  • Classification
  • Combustion
  • Combustion Chambers
  • Detection
  • Eigenvalues
  • Eigenvectors
  • Engines
  • Exothermic Reactions
  • Heat Engines
  • Heat Transfer Devices
  • Ignition
  • Internal Combustion Engines
  • Mathematics
  • Vibration

Readers

  • Acoustical Oceanography.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Linear Algebra