Advanced Fault Detection and Isolation Methods for Aircraft Turbine Engines.

Abstract

Aircraft engine diagnostic methods are reviewed. The role of computer-aided diagnostic procedures for current and future engines is discussed from the aspects of performance monitoring, trending, and fault detection/isolation. Development of advanced maximum likelihood or regression algorithms for each of these is presented. A methodology is developed for applying these algorithms to models derived from engine test stand or flight data. Specific computational results are given for a high performance turbofan engine. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1978
Accession Number
ADA058891

Entities

People

  • Ronald L. De Hoff
  • W. Earl Hall Jr.

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Data Acquisition
  • Data Analysis
  • Data Processing
  • Databases
  • Detection
  • Detectors
  • Engine Components
  • Failure Mode And Effect Analysis
  • Geometry
  • Information Science
  • Measurement
  • Propulsion Systems
  • Turbines
  • Turbofan Engines
  • Warning Systems

Readers

  • Aerospace Engineering
  • Computational Modeling and Simulation
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