A Procedure for Automated Gas Turbine Blade Fault Identification Based on Spectral Pattern Analysis

[+] Author and Article Information
E. Loukis, K. Mathioudakis, K. Papailiou

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

J. Eng. Gas Turbines Power 114(2), 201-208 (Apr 01, 1992) (8 pages) doi:10.1115/1.2906573 History: Received March 04, 1991; Online April 24, 2008


A method for diagnosing the existence and the kinds of faults in blades of a gas turbine compressor is presented in the present paper. The innovative feature of this method is that it performs the diagnosis automatically, that is, it gives a direct answer to whether a fault exists and what type of fault it is, without requiring the interpretation of results by a human expert. This is achieved by derivation of the values of discriminants calculated from spectral patterns of fast response measurement data. A decision about the corresponding engine status is then derived according to the values of the discriminants. In the paper, the procedure of examining the suitability of particular parameter discriminants and the constitution of a related knowledge base is described. The derivation of decisions by a computer, and on what engine condition a particular measurement data set corresponds, are then described.

Copyright © 1992 by The American Society of Mechanical Engineers
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