Application of Pattern Recognition to Fault Diagnosis of Internal Combustion Engines.

Abstract

The report presents the application of pattern recognition and signal processing techniques to the problem of mechanical diagnosis. It is shown that an analysis of the vibration record from an internal combustion engine allows discrimination between faulty engines and ones in good condition. Two methods are presented, both based on the identification of important zones of the vibration records which are correlated with events occuring during an engine cycle. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1971
Accession Number
AD0747334

Entities

People

  • Geng Seng Fang
  • Theodosios Pavlidis

Organizations

  • Princeton University

Tags

DTIC Thesaurus Topics

  • Combustion
  • Dimensionality Reduction
  • Engines
  • Identification
  • Internal Combustion Engines
  • Pattern Recognition
  • Recognition
  • Signal Processing
  • Vibration

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Parallel and Distributed Computing.
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).

Technology Areas

  • AI & ML