Balancing of turbomachine rotors by increasing the eccentricity identification accuracy
Keywords:eccentricity, imbalance, inverse problem, rotor, least squares estimator, principal components analysis
The article presents the results of research aimed at improving the identification of eccentricities by ensuring the stability of solutions of linear discrete inverse prob-lems. The results of the application of scaling factors of systems with a view to reducing their dependence are sug-gested. Identified eccentricities imbalances and angles of their location allowed to balance the rotor turbopump unit TNA-150 and reduce the maximum deflection of the rotor shaft in the range of 2000-18000 rpm 6 times, the ampli-tude of vibration supports - 4 times, the static tension in the material of the shaft - 3.5 times, and dynamic tension- 3 times. The use of linear filtering LSEs based on the PCA method, has significantly reduced the LSE scattering and accurately identify the eccentricities of the compressor rotor of aircraft engine AI-20.