Performance-based prognosis scheme for industrial gas turbines
Author | Tsoutsanis, E. |
Author | Meskin, Nader |
Author | Benammar, M. |
Author | Khorasani, K. |
Available date | 2022-04-14T08:45:42Z |
Publication Date | 2015 |
Publication Name | 2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015 |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1109/ICPHM.2015.7245018 |
Abstract | In this paper, we present a novel method for performance-based prognostics of industrial gas turbines. The concept of performance adaptation is implemented through a dynamic engine model that is developed in Matlab/Simulink environment to diagnose the health of the gas turbine. The proposed method is tested under variable operating conditions at both steady state and transient operational modes for estimating and predicting the compressor degradation. Different types of mathematical representations are used to fit the diagnosis results and consequently prognose the performance behavior of the engine. The results demonstrate the promising prospect of our proposed method for predicting accurately and efficiently the performance of gas turbine compressors as they degrade over time. 2015 IEEE. |
Sponsor | Qatar National Research Fund |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Compressibility of gases Degradation Engines Gas compressors Gases Health Mathematical models Systems engineering Turbines Adaptation models Industrial gas turbines Mathematical representations MATLAB/Simulink environment Object oriented model Prognostics and health managements Steady state and transients Variable operating condition Gas turbines |
Type | Conference Paper |
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Electrical Engineering [2649 items ]