Stall Precursor Determination of an LM-2500 Gas Turbine

Abstract

This thesis presents an analysis of data taken from several stall initiation events for an LM-2500 gas turbine engine. Specifically, the time series of three separate pressure signals located at stages 3, 6, and 15 were analyzed utilizing fast Fourier transform, power spectral density, and an autocorrelation technique to determine the best and most reliable indicator to stall. The spectral analyses performed showed that rotating precursor waves that travel at approximately half rotor speed were the best indicators. Several algorithms were used and it was determined that stall wave perturbations can be identified reliable about 880 revolutions prior to the stall. This work indicates that a single pressure signal located at stage 3 on an LM-2500 gas turbine can be used to give advance warning to a stall more than 2 seconds prior to the stall event.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2007
Accession Number
ADA470100

Entities

People

  • Gustave C. Dahl

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Autocorrelation
  • Computational Science
  • Correlation Analysis
  • Correlation Techniques
  • Data Analysis
  • Detectors
  • Digital Signal Processing
  • Engines
  • Fast Fourier Transforms
  • Fourier Analysis
  • Gas Turbines
  • Generators
  • Information Science
  • Signal Processing
  • Turbines
  • Turbomachinery

Readers

  • Aerodynamics.
  • Approximation Theory.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience