Research on identification of unbalance parameters of rotor with multi-plane using improved particle swarm optimization-Reference-Cited by-同舟云学术

Research on identification of unbalance parameters of rotor with multi-plane using improved particle swarm optimization

Published:2021-02 Issue:2 Volume:43 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Yun Xialun^ORCID,Pang Zhekai,Jiang Gedong,Mei Xuesong

Funder

Shaanxi Provincial Science and Technology Department

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics

Link

http://link.springer.com/content/pdf/10.1007/s40430-021-02825-9.pdf

Reference21 articles.

1. Ibraheem AA, Ghazaly NM, el-Jaber GTA (2019) Review of rotor balancing techniques. Am J Ind Eng 6(1):19–25

2. Shrivastava A, Mohanty AR (2018) Estimation of single plane unbalance parameters of a rotor-bearing system using Kalman filtering based force estimation technique. J Sound Vib 418:184–199

3. Chen Q, Liu G, Han B (2017) Unbalance vibration suppression for AMBs system using adaptive notch filter. Mech Syst Signal Process 93:136–150

4. Zhao Z, Lin R, Meng Z et al (2018) A modified truncation singular value decomposition method for solving ill-posed problems. J Algorithms Comput Technol 13:1748301818813609

5. Revunova EG (2017) Solution of the discrete ill-posed problem on the basis of singular value decomposition and random projection. In: Conference on computer science and information technologies. Springer, Cham, pp 434–449

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