Mathematical Pattern Recognition Techniques Applied to Wear Debris Characterisation for Condition Monitoring of Gas Turbine Engines

Abstract

The automation of wear debris characterization by SEM/EDX analysis using mathematical pattern recognition techniques offers a reliable identification of particle alloy composition. It is less time consuming than an individual check for the best fitting material. Another advantage is the full automatic generated Word report, which can be easily distributed by LAN or email.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2003
Accession Number
ADP014125

Entities

People

  • A. Laufer
  • D. Oley
  • J. Ortner
  • J. V. Czarnecki
  • P. Gauly

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Automation
  • Basic Programming Language
  • Control Systems
  • Damage Detection
  • Data Sets
  • Databases
  • Detection
  • Detectors
  • Gas Turbines
  • Identification
  • Jet Engines
  • Materials
  • Monitoring
  • Pattern Recognition
  • Recognition
  • Turbines

Readers

  • Aerospace Engineering
  • Distributed Systems and Data Platform Development
  • Nanoscale Plasmonic Nanotechnology

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation