Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 12, issue 2
Articles | Volume 12, issue 2
https://doi.org/10.5194/ms-12-715-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-12-715-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 2
Research article
 | 
16 Jul 2021
Research article |  | 16 Jul 2021

Identification of eccentricity of a motorized spindle-tool system with random parameters

Wengui Mao, Qingqing Tang, and Dan Feng

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Latest update: 01 Sep 2026
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Short summary
In order to improve the efficiency of identifying parameters using the maximum likelihood method and to avoid the sensitivity of initial values, a proposed method that combines the advance and retreat method with the micro-genetic algorithm allows the initial value, the iterative increment, and the search interval to be gradually changed, and the initial value to start from zero, which ensures a stable and fast convergence compared with other algorithms.
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