RESEARCH PAPERS: Gas Turbines: Controls and Dynamics

Wavelet Analysis for Gas Turbine Fault Diagnostics

[+] Author and Article Information
N. Aretakis, K. Mathioudakis

Laboratory of Thermal Turbomachines, National Technical University of Athens, Athens, Greece

J. Eng. Gas Turbines Power 119(4), 870-876 (Oct 01, 1997) (7 pages) doi:10.1115/1.2817067 History: Received February 01, 1996; Online November 19, 2007


The application of wavelet analysis to diagnosing faults in gas turbines is examined in the present paper. Applying the wavelet transform to time signals obtained from sensors placed on an engine gives information in correspondence to their Fourier transform. Diagnostic techniques based on Fourier analysis of signals can therefore be transposed to the wavelet analysis. In the paper the basic properties of wavelets, in relation to the nature of turbomachinery signals, are discussed. The possibilities for extracting diagnostic information by means of wavelets are examined, by studying the applicability to existing data from vibration, unsteady pressure, and acoustic measurements. Advantages offered, with respect to existing methods based on harmonic analysis, are discussed as well as particular requirements related to practical application.

Copyright © 1997 by The American Society of Mechanical Engineers
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