Abstract
AbstractThe paper presents creating a multi-variable regression model (MRM) for estimating the residual unbalanced mass based on the simulations of dynamic balancing rotor that is placed on a dynamic balancing machine (DBM). The model shows the relationship between the unbalanced Index (UI) that monitors the DBM and the model’s factors of the actual unbalanced masses (x1, x2) and the balancing position (angle x3, x4 and radius x5, x6). The MRM was built on the base of the made Design of the Experiments (DoE), regression analysis. The DoE is 2k−p fractional factorial design, with k = 6, p = 4, main independent factors (x1…x4). Np = 24 = 16 experiments, The simulation studying for creating the MRM was verified with the low-pressure turbine rotor on military ships gas turbine engine. The obtained regressive models were tested with 99% confidence. The received MRM would be used for improving the software of the dynamic balancing machines.KeywordsRotor unbalancesMulti-variable regressive modelRotor dynamic balancingUnbalance diagnostics
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