4.7 Article

A novel transient balancing technology of the rotor system based on multi modal analysis and feature points selection

Journal

JOURNAL OF SOUND AND VIBRATION
Volume 510, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jsv.2021.116321

Keywords

Unbalance; Transient balancing; Rotor dynamics; Modal analysis

Funding

  1. National Natural Science Foundation of China [12072263, 11972295, 11802235]
  2. Natural Science Foundation of Shaanxi Province [2020JQ-129]
  3. State Key Laboratory of Mechanical behavior and System Safety of Traffic Engineering Structures [KF2020-26]

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This paper proposes a novel transient balancing technology for identifying the unbalance parameters of the rotor system. The accuracy of the method is demonstrated through numerical simulations and experiments, showing robust estimations of unbalance parameters and adaptability to various influence factors.
In this paper, a novel transient balancing technology for identifying the unbalance parameters of the rotor system is proposed. Through basic coordinate transformation and multi modal analysis of the dynamical equations of rotor system, the calculation method for transient excitation forces is proposed. The transient excitation forces are calculated by the transient responses and modal parameters at several special positions of the rotor model. Then the feature points are introduced in the identification procedure and the unbalance parameters are identified by selecting the feature points of the calculated excitation forces. The accuracy of the proposed method is demonstrated by numerical simulations and experiments of the rotor system. Identified results of the proposed method are presented for different unbalance parameters and rotor models. Effects of different random noise levels to the displacement signals, varieties in damping and support stiffness are also presented to verify the adaptability and efficiency of the proposed method. The results show that the unbalance parameters estimations are robust with respect to the above influence factors.

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