Approaches to Health Monitoring of the CAT 7 Diesel Engine

Abstract

This study consists of an evaluation of health assessment approaches for the CAT 7 diesel engine. The report presents the processing method and results from two potential approaches for monitoring ground vehicle engine health. This work is based on data acquired from seeded fault testing performed on the engine by the U.S. Army Tank and Automotive Research, Development and Engineering Center (TARDEC) from May August 2010. Correlation analysis and principal component analysis were performed on the data and the results are presented. The results show detection of the presence of the majority of the faults. It is anticipated that through the application of various processing techniques such as these, a better assessment of engine health, in particular, the early detection of subsystems faults, is possible.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2011
Accession Number
ADA553953

Entities

People

  • Andrew J. Bayba
  • Canh Ly
  • David N. Siegel
  • Kwok Tom

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Correlation Analysis
  • Data Analysis
  • Data Science
  • Data Sets
  • Detection
  • Detectors
  • Diesel Engines
  • Digital Data
  • Eigenvalues
  • Engineering
  • Factor Analysis
  • False Alarms
  • High Gain
  • Information Science
  • Military Research
  • Monitoring
  • Statistics

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