Study on the Dynamic Problems of Double‐Disk Rotor System Supported by Deep Groove Ball Bearing

Liu, Yang; Han, Jiyuan; Zhao, Siyao; Meng, Qingyu; Shi, Tiezhu; Ma, Hui

doi:10.1155/2019/8120569

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…Despite the motor speed and the disk eccentricity increase especially in 3000, 6000, and 9000 rpm; the lateral vibration of SRS tends to be stable and presents a regular sine curve as shown in Figures 5(b–d)–7(b–d). As compare the parameters such as the bearing type, operation speed and rotor which assumed in this work and parameters assumed in the literature, This result can match with the simulation results that carried out by Liu et al 25 ; which verifies a certain extent the accuracy of the current simulation. Besides, the predicted natural frequency and calculated natural frequency of SRS are compared in order to verify the accuracy of the solver, as shown in Table 3.…”

Section: Resultssupporting

confidence: 86%

Study on the lateral and torsional vibration of single rotor-system using an integrated multi-body dynamics and finite element analysis

Eisa

Helal

2014

Advances in Mechanical Engineering

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Due to rapid development in the industry, operating speeds and eccentricity produced undesirable vibrations which may lead to damage in bearings, seals, and lubrication systems. In the proposed paper, a novel analytical method was presented using an integrated multi-body dynamics and finite element analysis to simulate the lateral and torsional vibration. This method was applied to a proposed model of single rotor-system. In order to study the lateral and torsional vibration of the system profoundly, three markers were placed on the locations of the left and right bearings and the mass center of the shaft. The effects of bearing force caused by lateral and torsional vibrations were also analyzed. The results showed that the lateral vibration has a great effect on the dynamic of single rotor-system when lowering motor speed. It was found that, as motor speed increased, the motion of the system becomes more stable with steady fluctuates of the displacement response. The calculated natural frequency of SRS is compared with theoretical results to verify the transient solver. This novel method is practical in analyzing the lateral and torsional vibration of the SRS under various speeds and eccentricities.

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Section: Resultssupporting

confidence: 86%

Study on the lateral and torsional vibration of single rotor-system using an integrated multi-body dynamics and finite element analysis

Eisa

Helal

2014

Advances in Mechanical Engineering

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“…K are the translating inertial matrix, the rotating inertial matrix, the gyroscopic moment matrix and the stiffness matrix of the beam element, which are described in reference [29][30][31].…”

Section: Motion Equations Of the Er-rotor Systemmentioning

confidence: 99%

Dynamic analysis of the variable stiffness support rotor system with elastic rings

Sun

Zhang

et al. 2022

Nonlinear Dyn

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Elastic rings are common rotor supporting structure, which have been widely used in aeroengine rotorsupport system. However, large inertia force and gyroscopic moment may occur during the operation of aeroengine, which may lead to contact between elastic ring and bearing pedestal, and then introduce variable stiffness into the rotor-support system. In this paper, a mathematical model of variable stiffness of elastic ring is proposed and this model is subsequently verified by comparison with simulation analysis and experimental results. Based on this model, a variable stiffness model of an elastic ringsupported rotor is developed by coupling the kinetic equations of the rotor with the deformation of the combined support. Then, the spectrum cascades are used to analyze the dynamic characteristics of the rotor system. In addition, the influences of the variable stiffness of elastic ring on the critical speed of the system are also examined. Finally, some simulation results are verified by experiments on a combined test bench of an elastic ring-supported rotor.

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“…In recent years, intelligent operation and maintenance and health management technologies have been presented in the field of mechanical systems from unique perspectives. In the literature, fault diagnosis methods based on signal processing [1][2][3] and physical modeling [4,5] have gradually matured. However, traditional diagnostic methods require a high level of human a priori knowledge, which limits their application and diffusion.…”

Section: Introductionmentioning

confidence: 99%

SRMANet: Toward an Interpretable Neural Network with Multi-Attention Mechanism for Gearbox Fault Diagnosis

Liu

Huang

et al. 2022

Applied Sciences

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Deep neural network (DNN), with the capacity for feature inference and nonlinear mapping, has demonstrated its effectiveness in end-to-end fault diagnosis. However, the intermediate learning process of the DNN architecture is invisible, making it an uninterpretable black-box model. In this paper, a stacked residual multi-attention network (SRMANet) is proposed as a means of feature extraction of vibration signals, and visualizing the model training process, designing Squeeze-excitation residual (SE-Res) blocks to obtain additive features with minimal redundancy and sparsity. This study recommends the use of the attention fusion unit to ensure the interpretability of the model and ultimately to obtain representative features. By feeding the output gradient of the attention layer back to the original signal, the key feature components in the time domain signal can be effectively captured. Finally, the interpretability, identification accuracy and adaptability of the model under different operating conditions are verified on 12 different fault tasks in the planetary gearbox.

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Study on the Dynamic Problems of Double‐Disk Rotor System Supported by Deep Groove Ball Bearing

Cited by 8 publications

References 12 publications

Study on the lateral and torsional vibration of single rotor-system using an integrated multi-body dynamics and finite element analysis

Study on the lateral and torsional vibration of single rotor-system using an integrated multi-body dynamics and finite element analysis

Dynamic analysis of the variable stiffness support rotor system with elastic rings

SRMANet: Toward an Interpretable Neural Network with Multi-Attention Mechanism for Gearbox Fault Diagnosis

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