Tolumoye J. Ajoko and Emmanuel M. Adigio
Intelligent diagnostic systems for gas turbines help avoid excessive outages and costly component replacement by calling for corrective action before problems have time to become failures. Various prognostics and health monitoring technologies have been developed that aid in the detection and classification of developing system faults. This paper presents a mathematical approach, which could be useful to the machine operator, to evaluate the performance of the gas turbine when the necessary diagnostic or simulation software is not available. The mathematical model was validated on a turbine, SK30 GT. Results show that the model can be used for performance evaluation of gas turbines, to reduce unplanned down time.
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