Abstract:
The impact of modeling in fault detection has been studied in this paper. Failure of the rotor shaft in a gas turbine plant could be problematic due to downtimes and repair cost. Therefore, the development of a model based software for torsional vibration analysis of a gas turbine system to identify impending faults and artificial intelligence can't be over emphasized. Furthermore, a degree of freedom system was modeled; the derived equations were subjected to java programming methods and results compared to an operational plant data. The results showed that the value for possible highest fault is 0.909 on the y axis. It was discovered that input parameters such as air flow rates of 21.9Kg/s, fuel flow rate of 0.324Kg/s, and heat value of fuel at 11750kJ/kW-hr would yield thermal efficiency of 51% and a maximum operating point of 298K.
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