Identification and optimization of unbalance parameters in rotor-bearing systems

Yao, Jianfei; Liu, Liang; Yang, Fang; Scarpa, Fabrizio; Jun, Gao

doi:10.1016/j.jsv.2018.05.050

Cited by 51 publications

(31 citation statements)

References 20 publications

(22 reference statements)

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“…Considering errors in phase and amplitude estimation, it was concluded that the combined equivalent loads and vibration minimization method was more effective than the equivalent loads minimization method alone. More recently, a method for the identification and optimization of unbalance parameters in rotor-bearing systems was proposed by Yao et al [8]. The method combined a modal expansion approach with optimization algorithms and allowed for the identification of the axial location of the unbalance, as well as its magnitude and phase, showing good agreement with experimental observations.…”

Section: Introductionmentioning

confidence: 89%

On the Importance of Sleeve Flexibility in Passive Control of Critical Speeds of a Rotating Shaft Using Eccentric Sleeves

Kirk

Griffiths

2019

Machines

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In this paper, the critical speeds of a rotating shaft fitted with eccentric balance sleeves are identified from a scaled, high speed experimental test facility. The results are compared with the results of dynamic finite element simulations. It is shown that the stiffness of the sleeves must be accommodated when considering passive control characteristics critical speeds of a rotating shaft using eccentric sleeves.

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Section: Introductionmentioning

confidence: 89%

On the Importance of Sleeve Flexibility in Passive Control of Critical Speeds of a Rotating Shaft Using Eccentric Sleeves

Kirk

Griffiths

2019

Machines

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“…The process is a suitable alternative to modal expansion once extended to multi-plane unbalance identification. Yao et al [21] have combined modal expansion along with an inverse problem approach to eliminate the shortcomings related to a low number of measurement points. They studied both single-and double-disc rotor-bearing systems and concluded that the combined method provides more accurate results than purely modal expansion-based estimations.…”

Section: Introductionmentioning

confidence: 99%

Unbalance Estimation for a Large Flexible Rotor Using Force and Displacement Minimization

et al. 2020

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Mass unbalance is one of the most prominent faults that occurs in rotating machines. The identification of unbalance in the case of large flexible rotors is crucial because in industrial applications such as paper machines and roll grinders, high vibrations can adversely affect the quality of the end product. The objective of this research is to determine the unbalance location, magnitude and phase for a large flexible rotor with few measured coordinates. To this end, an established force-based method comprising of modal expansion and equivalent load minimization is applied. Due to the anisotropic behavior of the test rotor, the force method required at least six measured coordinates to predict the unbalance with an error of 4 to 36%. To overcome this limitation, an alternate method, eliminating the use of modal expansion, is proposed. Here, displacements generated by varying the location of a reference unbalance along the rotor axis, are compared to measured displacements to detect the unbalance location. Furthermore, instead of force-based fault models, the minimization of displacements at measured locations determines the unbalance parameters. The test case in this study is the guiding roll of a paper machine and its different unbalance states. The algorithm is tested initially with a simulation-based model and then validated with an experimental set up. The results show that the displacement method can locate the unbalance close to the actual location and it can predict the unbalance magnitude and phase with only two measured coordinates. Lastly, using measured data from 15 measurement points across the tube section of the test rotor, a comparison shows how the selection of the two measured locations affects the estimation accuracy.

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“…This researcher found that when the gyroscopic effect is added, natural paired frequencies are separated as the angular speed increases. Yao and others [3] describe the identification and optimization of unbalance parameters in rotor-bearing systems. Two methods are proposed for the identification of the unbalance characteristics: the first is based on modal expansion combined with the use of optimization algorithms, and the second relates to the use of modal expansion technique applied to the inverse problem concluded that identification and optimization procedure for the integrated modal expansion/inverse problem approach provides more accurate predictions than the ones given by the pure modal expansion method.…”

Section: Introductionmentioning

confidence: 99%

Modeling and experimental validation of the vibration in an unbalance multi-stage rotor

Cruz

Arzola

Ríos

2019

JMES

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This work proposes a finite element method model to predict lateral vibration phenomena arising in the multi-stage rotor (seven stages) with unbalance, including damping and gyroscopic effects. The rotor dynamic analysis includes mathematical and experimental determination of the first and second critical speeds of the rotor and the assessment of the effects induced by the different unbalance combinations. The results show that while considering the unbalance effects in the impellers, critical speeds move to lower frequencies compared to normal conditions when the rotor is properly balanced. Finally, the results obtained analytically achieved a good degree of correspondence with experimental validation tests.

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Identification and optimization of unbalance parameters in rotor-bearing systems

Cited by 51 publications

References 20 publications

On the Importance of Sleeve Flexibility in Passive Control of Critical Speeds of a Rotating Shaft Using Eccentric Sleeves

On the Importance of Sleeve Flexibility in Passive Control of Critical Speeds of a Rotating Shaft Using Eccentric Sleeves

Unbalance Estimation for a Large Flexible Rotor Using Force and Displacement Minimization

Modeling and experimental validation of the vibration in an unbalance multi-stage rotor

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