Performance-based prognosis scheme for industrial gas turbines

Elias Tsoutsanis, Nader Meskin, Mohieddine Benammar, K. Khorasani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publication2015 IEEE Conference on Prognostics and Health Management
Subtitle of host publicationEnhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9781479918935
Publication statusPublished - 8 Sept 2015
EventIEEE Conference on Prognostics and Health Management, PHM 2015 - Austin, United States
Duration: 22 Jun 201525 Jun 2015


ConferenceIEEE Conference on Prognostics and Health Management, PHM 2015
Country/TerritoryUnited States


  • Adaptation models
  • Degradation
  • Engines
  • Mathematical model
  • Object oriented modeling
  • Prognostics and health management
  • Turbines

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software
  • Engineering (miscellaneous)


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