Turbine Engine Diagnostics System Study

Abstract

This report presents the results of a system study for the Turbine Engine Diagnostics (TED) program. This research project was initiated to develop a method of approach and prototype design for a system capable of predicting the failure of rotating parts in turbine engines. Systems Control Technology (SCT) Inc. Initially performed an extensive technical literature search and industry survey to augment the present understanding of current technology in the industry for computerized diagnostic systems and measurement sensor technology. The result of this study is a proposed system with a method of approach that minimizes the technical and financial risk of turbine engines, while at the same time optimizes the safety factors needed to accurately predict component failures.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1991
Accession Number
ADA244595

Entities

People

  • Barbara K. Mcquiston
  • Ronald L. Dehoff

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircraft Equipment
  • Aircraft Industry
  • Aircrafts
  • Airframes
  • Artificial Intelligence
  • Data Management
  • Databases
  • Employment
  • Engineers
  • Gas Turbines
  • Pattern Recognition
  • Personnel Management
  • Reliability
  • Rotary Wing Aircraft
  • Space Systems
  • Test Equipment
  • Turbine Components

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Defense Technology Research and Development.
  • Electrical Engineering