Model-based initial residual unbalance identification for rotating machines in one and two planes using an iterative inverse approach

Authors

  • Satish Bastakoti Department of Mechanical Engineering, School of Energy Systems, Lappeenranta-Lahti University of Technology LUT, 53850 Lappeenranta, Finland
  • Tuhin Choudhury Department of Mechanical Engineering, School of Energy Systems, Lappeenranta-Lahti University of Technology LUT, 53850 Lappeenranta, Finland https://orcid.org/0000-0003-0457-2391
  • Risto Viitala Department of Mechanical Engineering, School of Engineering, Aalto University, 00076 Espoo, Finland https://orcid.org/0000-0003-2301-3456
  • Emil Kurvinen Department of Mechanical Engineering, School of Energy Systems, Lappeenranta-Lahti University of Technology LUT, 53850 Lappeenranta, Finland https://orcid.org/0000-0003-0750-1679
  • Jussi Sopanen Department of Mechanical Engineering, School of Energy Systems, Lappeenranta-Lahti University of Technology LUT, 53850 Lappeenranta, Finland https://orcid.org/0000-0003-4371-1606

DOI:

https://doi.org/10.24425/bpasts.2021.139790

Abstract

To achieve acceptable dynamical behavior for large rotating machines operating at subcritical speeds, the balancing quality check at the planned service speed in the installation location is often demanded for machines such as turbo-generators or high-speed machines. While most studies investigate the balancing quality at critical speeds, only a few studies have investigated this aspect using numerical methods at operational speed. This study proposes a novel, model-based method for inversely estimating initial residual unbalance in one and two planes after initial grade balancing for large flexible rotors operating at the service speeds. The method utilizes vibration measurements from two planes in any single direction, combined with a finite element model of the rotor to inversely determine the residual unbalance in one and two planes. This method can be practically used to determine the initial and residual unbalance after the balancing process, and further it can be used for condition-based monitoring of the unbalance state of the rotor.

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Published

2021-10-29

How to Cite

Bastakoti, Satish, et al. “Model-Based Initial Residual Unbalance Identification for Rotating Machines in One and Two Planes Using an Iterative Inverse Approach”. Bulletin of the Polish Academy of Sciences Technical Sciences, vol. 69, no. 6, Oct. 2021, p. e139790, doi:10.24425/bpasts.2021.139790.

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