The Use of Probabilistic Reasoning to Improve Least Squares Based Gas Path Diagnostics

Author:

Romessis C.1,Kamboukos Ph.1,Mathioudakis K.1

Affiliation:

1. Laboratory of Thermal Turbomachines, National Technical University of Athens, P.O. Box 64069, Athens 15710, Greece

Abstract

A method is proposed to support least square type of methods for deriving health parameters from a small number of independent gas path measurements. The method derives statistical information using sets of solutions derived from a number of data records, to produce sets of candidate solutions with a lesser number of parameters. These sets can then be processed to derive an accurate component fault diagnosis. It could thus be classified as a new type of "concentrator" approach, which is shown to be more effective than previously existing schemes. The method's effectiveness is demonstrated by application to a number of typical jet engine component faults.

Publisher

ASME International

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Fuel Technology,Nuclear Energy and Engineering

Reference27 articles.

1. Urban, L. A. , 1972, “Gas Path Analysis Applied to Turbine Engine Conditioning Monitoring,” Paper No. AIAA/SAE 72-1082.

2. Doel, D. , 1993, “An Assessment of Weighted-Least-Squares Based Gas Path Analysis,” ASME Paper No. 93-GT-119.

3. TEMPER-A Gas Path Analysis Tool for Commercial Jet Engines;Doel;ASME J. Eng. Gas Turbines Power

4. Urban, L. A., and Volponi, A. J., 1992, “Mathematical Methods of Relative Engine Performance Diagnostics,” SAE Trans.0096-736X, 101, Journal of Aerospace, Paper 922048.

5. Doel, D. , 2002, “Interpretation of Weighted Least Squares Gas Path Analysis Results,” ASME paper GT-2002-30025.

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