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AuthorTsoutsanis, E.
AuthorMeskin, Nader
AuthorBenammar, M.
AuthorKhorasani, K.
Available date2022-04-14T08:45:42Z
Publication Date2015
Publication Name2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/ICPHM.2015.7245018
URIhttp://hdl.handle.net/10576/29797
AbstractIn 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.
SponsorQatar National Research Fund
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCompressibility 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
TitlePerformance-based prognosis scheme for industrial gas turbines
TypeConference Paper


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