Modelling and Prediction of Maximum Vibration Amplitude for the Evaluation of Gas Turbine Performance.

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Electric power generation is largely dependent on the generator. The generator is, however, found to have lateral vibration, torsional vibration or stator vibration problems which can affect the blade, bearings, shaft and speed of the generator among others. This ultimately affects the performance of the generator and thus production of power would be affected. It is therefore very essential to monitor the maximum vibration amplitude to ensure that it stays within range. The purpose of this research is to study and model system parameters to improve the operational efficiency of the gas turbine through the modelling of the maximum generator amplitude and prediction of the subsequent vibration amplitude of the generator of the thermal plant. Data obtained from the Kpone Thermal Power Plant was used in the modeling. The results indicates that the auto regression (1) model can be used to predict the maximum vibration amplitude of the generator. Comparing the actual data collected and the 95% confidence limits of the prediction considering an error of ± 0.76 , it is observed that the predicted values fall within the 95% confidence limits of the predicted values thereby validating the prediction model.
A thesis submitted to the Department of Mechanical Engineering, College of Engineering in partial fulfillment of the requirements for the degree of Master of Engineering
Modelling, Prediction, Maximum Vibration Amplitude, Evaluation, Gas Turbine Performance.