Real Time Prognostic Strategies: Application to Gas Turbines


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Gas turbines are increasingly deployed throughout the world to provide electrical and mechanical power in consumer and industrial sectors. A health management system can incorporate prognostic algorithms to effectively interpret and determine the healthy working span of a gas turbine. The research project’s objective is to develop real-time monitoring and prediction algorithms for simple cycle natural gas turbines to forecast short and long term system behavior.



Defect and Diffusion Forum (Volumes 312-315)

Edited by:

Prof. Andreas Öchsner, Prof. Graeme E. Murch and Prof. João M.P.Q. Delgado




M. Yadegari "Real Time Prognostic Strategies: Application to Gas Turbines", Defect and Diffusion Forum, Vols. 312-315, pp. 601-606, 2011

Online since:

April 2011





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