Abstract
In this paper, the vibrational behavior of a gas microturbine was analyzed for several fuels. The study was carried out through discriminant analysis using statistical indices computed starting from accelerometer signals. Two rotation speeds were tested on the microturbine fueled with three different fuels. Such approach is able to classify turbine vibrational behavior as a function of fuel type. In particular, the classification is enhanced for one of the two tested speeds allowing good differentiation between the different types of fuels.