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Technical Briefs

Application and Comparison of High Breakdown-Point and Bounded-Influence Estimators to Rotor Balancing

[+] Author and Article Information
Steven Chatterton1

Department of Mechanical Engineering, Politecnico di Milano, Via G. La Masa, 1-20156 Milano, Italy

Roberto Ricci

Department of Mechanical Engineering, Politecnico di Milano, Via Scalabrini, 76-29100 Piacenza, Italy

Paolo Pennacchi

Department of Mechanical Engineering, Politecnico di Milano, Via G. La Masa, 1-20156 Milano, Italy

1

Corresponding author.

J. Vib. Acoust 132(6), 064502 (Sep 16, 2010) (6 pages) doi:10.1115/1.4001842 History: Received June 09, 2009; Revised April 21, 2010; Published September 16, 2010; Online September 16, 2010

In the field of rotor balancing, the traditional influence coefficient method is often employed along with weighted least squares in order to reduce amplitude vibrations, typically at selected rotating speeds such as critical or operating ones. Usually, these weights are manually selected by the operator. In this paper, an automatic procedure for the balancing mass estimation based on robust regression methods is introduced. The analysis is focused on high breakdown-point and bounded-influence estimators. The effectiveness and robustness of the proposed balancing procedure are shown by means of simulations of a 180 MW gas turbo generator of a power plant.

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Copyright © 2010 by American Society of Mechanical Engineers
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Figures

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Figure 1

Finite element model of the generator

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Figure 2

Rotor simulated response versus offset (two unbalances)

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Figure 3

Estimator weights (offset, two unbalances)

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Figure 4

Root of sum of squared residuals (nominal response, three unbalances)

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Figure 5

Rotor simulated response versus magnification of first critical speed (three unbalances)

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Figure 6

Estimator weights (magnification of first critical speed, three unbalances)

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