Diagnosis method of self-adapting performance of pneumatic components of hybrid gas turbine based on combination of gray correlation theory and thermodynamic model

Abstract

The invention is aimed at providing a diagnosis method of self-adapting performance of pneumatic components of a hybrid gas turbine based on the combination of the gray correlation theory and a thermodynamic model. The method comprises following steps: utilizing component pseudo relative parameters to set up a component-level thermodynamic model of the gas turbine, utilizing pseudo relative parameters to define a gas compressor and healthy indicators of turbine gas circuits, setting healthy indicators of gas circuits of all components of the thermodynamic model to simulate single components and measurement parameters of gas circuits in the case of performance degradation of multiple components, recognizing a performance degradation mode with the gray correlation theory in order to separate parts of actual performance degradation such that subsets of healthy indictors of actual gas circuits to be diagnosed are determined. The diagnosis method of self-adapting performance of pneumatic components of the hybrid gas turbine based on the combination of the gray correlation theory and the thermodynamic model has following beneficial effects: the method is capable of easily and conveniently setting healthy indicators of all components in gas circuits used for gas circuit diagnoses, reflecting changes of healthy indictors of gas circuits induced by performance degradation of components more accurately and avoiding the blurring effect of diagnosis results caused by measurement noises and a large number of parts.

Description

technical field [0001] The present invention relates to a diagnostic method, in particular to a gas turbine diagnostic method. Background technique [0002] In the second half of the 20th century, with the widespread application of gas turbines in the aviation industry, more and more attention has been paid to the field of industrial power stations, oil and gas pipeline transportation, and the shipbuilding industry. During operation, due to the harsh working conditions of high temperature, high pressure, high speed and high stress, and environmental pollution, the performance of various types of gas turbines will gradually decline. The main gas circuit components of a gas turbine include a compressor, a combustor and a turbine. These major components are subject to different degradation phenomena over time, such as dirt, leakage, corrosion, thermal distortion, foreign object damage, etc., which will cause performance deterioration and easily lead to various serious failures...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a hybrid gas turbine gas path component self-adaptive performance diagnosis method based on the combination of gray relational theory and thermal model that can better solve the problem of ambiguity in the diagnosis results due to measurement noise and a large number of components

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