Assessment of the Effectiveness of Gas Path Diagnostic Schemes

Author:

Mathioudakis K.1,Kamboukos Ph.1

Affiliation:

1. Laboratory of Thermal Turbomachines, National Technical University of Athens, Iroon Polytechniou 9, Athens 15773, Greece

Abstract

Abstract A variety of methods can be used for the diagnosis of faults in gas path components of gas turbines. Problems that are common for diagnostic method implementation are the choice of measured quantities, choice of health parameters, and choice of operating conditions for data retrieval. The present paper introduces some general principles for evaluation of the effectiveness of different diagnostic schemes. They encompass criteria proposed in past publications, while they offer additional possibilities for assessment of diagnostic effectiveness in various situations. The method is based on the evaluation of the behavior of linear systems, which are a good approximation of the nonlinear ones for small deviations and employs the concept of system condition number to formulate criteria. The determination of limits for this number for establishing system condition criteria and quantification of observability is examined, on the basis of uncertainty propagation. Sample problems evaluated are: maximizing effectiveness of individual component identification from a multiplicity of available measurements, selection of individual operating points for multipoint applications.

Publisher

ASME International

Subject

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

Reference16 articles.

1. Performance Analysis Based Gas Turbine Diagnostics: A Review;Li;Proc. Inst. Mech. Eng., Part A

2. Optimal Measurement and Health Index Selection for Gas Turbine Performance Status and Fault Diagnosis;Stamatis;J. Eng. Gas Turbines Power

3. Provost, M. J. , 1994, “The use of optimal estimation techniques in the analysis of gas turbines,” Ph.D. thesis, Cranfield University.

4. Provost, M. J. , 2003, Observability Analysis for Successful Diagnosis of Gas Turbine Faults in Von Karman Institute Lecture Series, “Gas Turbine Condition Monitoring and Fault Diagnosis,” VKI LS January 13–17.

5. Optimizing Diagnostic Effectiveness Of Mixed Turbofans By Means Of Adaptive Modelling And Choice Of Appropriate Monitoring Parameters;Kamboukos

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