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

Name: Identification of unbalance characteristics of rotating machinery using a novel optimization-based methodology
Author: Abbasi, Ahmad, Firouzi, Behnam, Şendur, Polat, Ranjan, G., Tiwari, R.

İsim	Identification of unbalance characteristics of rotating machinery using a novel optimization-based methodology
Yazar	Abbasi, Ahmad, Firouzi, Behnam, Şendur, Polat, Ranjan, G., Tiwari, R.
Basım Tarihi:	2022-02-26
Basım Yeri	- Springer
Konu	FEM, Optimization, Rotational unbalance, Rotor-bearing systems, SSA–NM, Taguchi design
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1432-7643
Kayıt Numarası	94a0aec0-e882-4bb3-89c6-0667c1fc6544
Lokasyon	Mechanical Engineering
Tarih	2022-02-26
Örnek Metin	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

Yazar Abbasi, Ahmad, Firouzi, Behnam, Şendur, Polat, Ranjan, G., Tiwari, R.

Basım Tarihi 2022-02-26

Basım Yeri - Springer

Konu FEM, Optimization, Rotational unbalance, Rotor-bearing systems, SSA–NM, Taguchi design

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1432-7643

Kayıt Numarası 94a0aec0-e882-4bb3-89c6-0667c1fc6544

Lokasyon Mechanical Engineering

Tarih 2022-02-26

Örnek Metin 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