Identification of unbalance characteristics of rotating machinery using a novel optimization-based methodology

Title Identification of unbalance characteristics of rotating machinery using a novel optimization-based methodology
Author Abbasi, Ahmad, Firouzi, Behnam, Şendur, Polat, Ranjan, G., Tiwari, R.
Publication Date: 2022-02-26
Publication Place - Springer
Subject FEM, Optimization, Rotational unbalance, Rotor-bearing systems, SSA–NM, Taguchi design
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 1432-7643
Record ID 94a0aec0-e882-4bb3-89c6-0667c1fc6544
Library Location Mechanical Engineering
Date 2022-02-26
Sample Text In this study, a novel optimization-based method is proposed to determine the parameters of a rotating unbalance in a rotor-bearing system. For that purpose, the weighted sum of squared difference between the analytical and predicted unbalance response due to rotational unbalance is considered as the objective function. A hybrid algorithm integrating salp swarm algorithm and Nelder–Mead algorithms is presented for detecting unbalance magnitude and phase as the unbalance parameters. Parameters of the aforementioned optimization algorithm are determined systematically using the Taguchi design of experiments method. The efficiency of the proposed method is compared with various optimization algorithms in the literature. The optimization method is validated with different unbalances experimentally to consider the real-world conditions. The results show the superiority of the proposed hybrid algorithm in terms of the accuracy of the unbalance parameters and computational efficiency.
DOI 10.1007/s00500-022-06872-9
Cilt 26
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Identification of unbalance characteristics of rotating machinery using a novel optimization-based methodology

Author Abbasi, Ahmad, Firouzi, Behnam, Şendur, Polat, Ranjan, G., Tiwari, R.
Publication Date 2022-02-26
Publication Place - Springer
Subject FEM, Optimization, Rotational unbalance, Rotor-bearing systems, SSA–NM, Taguchi design
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 1432-7643
Record ID 94a0aec0-e882-4bb3-89c6-0667c1fc6544
Library Location Mechanical Engineering
Date 2022-02-26
Sample Text In this study, a novel optimization-based method is proposed to determine the parameters of a rotating unbalance in a rotor-bearing system. For that purpose, the weighted sum of squared difference between the analytical and predicted unbalance response due to rotational unbalance is considered as the objective function. A hybrid algorithm integrating salp swarm algorithm and Nelder–Mead algorithms is presented for detecting unbalance magnitude and phase as the unbalance parameters. Parameters of the aforementioned optimization algorithm are determined systematically using the Taguchi design of experiments method. The efficiency of the proposed method is compared with various optimization algorithms in the literature. The optimization method is validated with different unbalances experimentally to consider the real-world conditions. The results show the superiority of the proposed hybrid algorithm in terms of the accuracy of the unbalance parameters and computational efficiency.
DOI 10.1007/s00500-022-06872-9
Cilt 26
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