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

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Abstract

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.

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Acknowledgements

The authors acknowledge the reviewers’ comments and the editor’s efforts, which significantly enhanced the manuscript greatly.

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Authors and Affiliations

  1. Vibrations and Acoustics Laboratory (VAL), Mechanical Engineering Department, Ozyegin University, Istanbul, Turkey

    Ahmad Abbasi, Behnam Firouzi & Polat Sendur

  2. Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, 781 039, India

    Gyan Ranjan & Rajiv Tiwari

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  1. Ahmad Abbasi
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  2. Behnam Firouzi
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Correspondence to Polat Sendur.

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Abbasi, A., Firouzi, B., Sendur, P. et al. Identification of unbalance characteristics of rotating machinery using a novel optimization-based methodology. Soft Comput 26, 4831–4862 (2022). https://doi.org/10.1007/s00500-022-06872-9

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