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2001•Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and EnergyOpen access

Performance analysis of industrial gas turbines for engine condition monitoring

K. Mathioudakis, A. Stamatis, A. Tsalavoutas, N. Aretakis

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Abstract

This paper presents methods of analysing aerothermodynamic performance measurement data for the purpose of assessing the condition of the components of a gas turbine. Features of the methods are analysed in function of the available measurements and ways of extracting as much information as possible from a given measurement set are discussed. The principles discussed are highlighted by presenting results from application to data from operating industrial gas turbines. Particular applications discussed are the identification of deposits on the blades of a gas turbine used for power generation and the monitoring of compressor fouling on another industrial gas turbine.

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What this paper is about

This paper presents methods of analysing aerothermodynamic performance measurement data for the purpose of assessing the condition of the components of a gas turbine. Features of the methods are analysed in function of the available measurements and ways of extracting as much information as possible from a given measurement set are discussed. The principles discussed are highlighted by presenting results from application to data from operating industrial gas turbines. Particular applications discussed are the identification of deposits on the blades of a gas turbine used for power generation and the monitoring of compressor fouling on another industrial gas turbine.

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OpenAlex reports 38 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents methods of analysing aerothermodynamic performance measurement data for the purpose of assessing the condition of the components of a gas turbine. Features of the methods are analysed in function of the available measurements and ways of extracting as much information as possible from a given measurement set are discussed. The principles discussed are highlighted by presenting results from application to data from operating industrial gas turbines. Particular applications discussed are the identification of deposits on the blades of a gas turbine used for power generation and the monitoring of compressor fouling on another industrial gas turbine.

Key concepts: Industrial gas, Gas compressor, Gas turbines, Turbine, Fouling, Condition monitoring, Process engineering, Gas engine

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