Nonlinear Responses of a Rotor‐Bearing‐Seal System with Pedestal Looseness

Lin, Junzhe; Zhao, Yulai; Wang, Pengfei; Wang, Yuanyuan; Han, Qingkai; Ma, Hui

doi:10.1155/2021/9937700

Cited by 8 publications

(10 citation statements)

References 37 publications

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“…Without changing the laminate parameters, the time-domain and frequency-domain characteristics of the composite rotor are consistent with those of the typical Jeffcott rotor. 4,5,26 The results verify the correctness of the nonlinear dynamic model and the numerical solution method presented in this paper.…”

Section: Frequency-domain Characteristics Of the Composite Rotor-bear...supporting

confidence: 67%

“…η is the Sommerfeld coefficient of the oil film force. 4 In addition, f x and f y are the dimensionless nonlinear oil film forces. The relationship between these nonlinear oil film forces f x and f y is: 4…”

Section: The Composite Rotor-bearing Systemmentioning

confidence: 99%

“…3 Many researchers have studied the nonlinear dynamic characteristics of isotropic rotor systems, and the mechanism of instability related to pedestal looseness has been documented well. 4,5 However, there is a lack of existing research on the nonlinear dynamic characteristics of anisotropic composite rotor-bearing systems.…”

Section: Introductionmentioning

confidence: 99%

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Effect of laminate parameters on nonlinear dynamic characteristic of the composite rotor-bearing system with pedestal looseness

Yang,

Xuan,

Qin

et al. 2023

Advances in Mechanical Engineering

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The nonlinear dynamics of the composite shaft rotor-bearing system are greatly affected by the orientation angle layer and its proportion of the ply, i.e., the ratio of the orientation angle layer in the laminate. This paper presents a nonlinear dynamic analysis of a composite rotor-bearing system with pedestal looseness that considers the nonlinear oil film force and the pedestal looseness. Nonlinear phenomena including periodic, quasi-periodic, and chaotic motions are analyzed. The analysis results indicate that the stiffness and damping coefficients of a composite shaft tube can be influenced strongly by the laminate parameters, which can in turn affect the instability speed of the rotor system. To enhance the oil film instability speed of the composite rotor system, it is essential to maximize the ratio of the small orientation angle layer or the ±45° layer. Additionally, increasing the ratio of the small orientation angle layers in the shaft tube leads to a higher rotational speed for loosening instability. The research results obtained in this paper have important theoretical value for the design of composite rotor-bearing systems.

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Section: Frequency-domain Characteristics Of the Composite Rotor-bear...supporting

confidence: 67%

Section: The Composite Rotor-bearing Systemmentioning

confidence: 99%

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Effect of laminate parameters on nonlinear dynamic characteristic of the composite rotor-bearing system with pedestal looseness

Yang,

Xuan,

Qin

et al. 2023

Advances in Mechanical Engineering

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“…Varney and Green 20 analyzed the influence of support asymmetry degree on the nonlinear vibration responses of rotor systems. Lin et al 21 studied the dynamic characteristics of a rotor system with a loosened sliding bearing support under the same direction eccentricity and reverse eccentricity conditions. In addition, the study of coupling dynamic behaviors under various faults has also received some attention.…”

Section: Introductionmentioning

confidence: 99%

Multi-fault classification of rotor systems based on phase feature of axis trajectory in noisy environments

Hua

Xiong

et al. 2023

Structural Health Monitoring

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As it is difficult to distinguish multiple rotor faults with similar dynamic phenomena in noisy environments, a multi-fault classification method is proposed by combining the extracted trajectory phase feature, a parameter-optimized variational mode decomposition (VMD) method and a light gradient boosting machine (LightGBM) model. The trajectory phase feature is extracted from an axis trajectory by fusing the frequency, amplitude, and phase information related to rotor motion and can comprehensively describe the dynamic characteristics induced by different rotor faults. First, the vibration displacement signals in two orthogonal directions are collected to construct the axis trajectories with 12 rotor states including healthy, unbalance, misalignment, single crack, multiple cracks, and a mixture of them. Second, the trajectory phase feature is extracted from the vectorized axis trajectories, and the frequency spectra of trajectory phase angles under different rotor faults are analyzed through Fourier transform. Finally, a parameter-optimized VMD method combined with a LightGBM model is applied to classify multiple faults of rotor systems in different noisy environments based on the extracted trajectory phase feature. The 12 rotor states can be classified into nine categories based on the harmonic information of 1X–7X components (X is the rotating frequency of a rotor system) and other components with smaller amplitudes in the frequency spectra of trajectory phase angles. The average classification accuracy of the 12 rotor states exceeds 93.0%, and the recognition rate for each kind of fault is greater than 77.5% in noisy environments. The simulated and experimental results demonstrate the effectiveness and adaptability of the proposed multi-fault classification method. This work can provide a reference for the condition monitoring and fault diagnosis of rotor systems in engineering.

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“…In reference [3], techniques of trend analysis, frequency spectrum analysis and shaft center positioning analysis were used to identify the stability status of the rotorgenerator according to pedestal and bolt looseness. In reference [4], a pedestal looseness model of a bearing-seal system was presented, and the dynamic characteristics were also studied. Chen et al [5][6] proposed some sensitive time-frequency features and sensitive mixed-domain features along with manifold learning so as to detect the pedestal looseness faults.…”

Section: Introductionmentioning

confidence: 99%

Dynamics simulation of rolling bearing system with pedestal looseness in speed-up train

Yang

Wang

Zhao

2022

J. Phys.: Conf. Ser.

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The paper mainly studies the dynamics characteristics of the roller bearing system with pedestal looseness in speed-up train. Considering eccentricity, damping coefficient, stiffness of shaft, and support forces of roller bearing, a centralized mass model of roller bearing system of speed-up train is presented. Moreover, numerical analysis method is adopted to solve the dynamics responses. Based on the trajectory cures, phase plane portraits, Poincaré maps, and amplitude spectrum cures, the dynamics characteristics are analysed when the motor rotating speed and gap of the looseness are changed. The simulation results reveal some complex dynamic behaviour such as periodic motion, quasi-periodic motion, multi-periodic motion and chaotic motion. These results will help us understand and harness these dynamics behaviour of the proposed bearing system of speed-up train.

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Nonlinear Responses of a Rotor‐Bearing‐Seal System with Pedestal Looseness

Cited by 8 publications

References 37 publications

Effect of laminate parameters on nonlinear dynamic characteristic of the composite rotor-bearing system with pedestal looseness

Effect of laminate parameters on nonlinear dynamic characteristic of the composite rotor-bearing system with pedestal looseness

Multi-fault classification of rotor systems based on phase feature of axis trajectory in noisy environments

Dynamics simulation of rolling bearing system with pedestal looseness in speed-up train

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