Investigation on planetary gearbox fault mechanism under variable speed conditions based on rigid-flexible coupling dynamics model

Zhang, Kongliang; Li, Hongkun; Cao, Shunxin; Wang, Chaoge; Sun, Bin; Liu, Aiqiang

doi:10.1016/j.engfailanal.2021.105994

Cited by 17 publications

(6 citation statements)

References 33 publications

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“…In this way, the position of the open-loop system can be completely determined by the Lagrange coordinate matrix q of all hinges. Its dynamic equation is the second-order differential equation group of the Lagrange coordinate matrix [14]:…”

Section: Modelling Theory Of Multibody Dynamicsmentioning

confidence: 99%

Comparative analysis of dynamic load characteristics of artillery steering gear based on different MBD methods

Si,

Yu,

Luo

et al. 2024

J. Phys.: Conf. Ser.

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The multi-body dynamics analysis model of the steering gear of a certain type of artillery was established. The dynamic load characteristics of the output gear of the steering gear motor and its driven gear under the given speed and load conditions were calculated based on the three different MBD analysis methods, such as the speed, meshing force, and contact stress. Through the comparative analysis, it was concluded that the calculation results of rigid-flexible coupling analysis were closer to the theoretical value and the fluctuation range was smaller, which provides reference and basis for the prediction of gear fatigue life and the optimization design under dynamic load conditions.

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Section: Modelling Theory Of Multibody Dynamicsmentioning

confidence: 99%

Comparative analysis of dynamic load characteristics of artillery steering gear based on different MBD methods

Si,

Yu,

Luo

et al. 2024

J. Phys.: Conf. Ser.

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“…x i (7) where x i denotes the element at R d m,n in the rectangular region. In comparison to the narrow kernel, the wide kernel has stronger smoothing and is better able to effectively capture the information of vibration signals in the low and medium frequency ranges.…”

Section: Denoising Layermentioning

confidence: 99%

“…Failure to carry out timely maintenance may substantially compromise the safe operation of wind turbines, leading to system downtime, significant financial losses, and even fatal consequences. Consequently, the study of the wind turbine gearbox fault diagnosis holds great practical significance [5][6][7]. Nevertheless, the existing traditional fault detection algorithms, due to their strict signal quality requirements and inadequate learning depth, have progressively proven to be inadequate in meeting the current needs for fault diagnosis [8].…”

Section: Introductionmentioning

confidence: 99%

Small sample fault diagnosis for wind turbine gearbox based on lightweight multiscale convolutional neural network

Wang,

Tong

2023

Meas. Sci. Technol.

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The maintenance and diagnosis of wind turbine gearboxes are crucial for enhancing the stability and operational efficiency of wind power systems. However, there are still two challenges in gearbox fault diagnosis methods based on deep learning : (1) Limited failure sample; (2) Interference of strong noise. To solve the above issues, a lightweight multiscale convolutional neural network (LMSCNN) based fault diagnosis method is proposed in this paper. Among them, a large kernel convolution is used to denoise the original vibration signal. A lightweight multiscale architecture is constructed using depthwise separable convolutional blocks (DSCBs), which mine fault features at different scales and improve the operational efficiency of the model. Moreover, a parallel global pooling block (PGPB) is designed to provide a more comprehensive feature for the fusion layer, enabling the effective diagnosis of vibration signals. Experiments are conducted on the datasets of two different gearboxes, which prove that LMSCNN has excellent generalization capability and diagnostic speed.

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“…In the planet gear system, the meshing vibration signals resulting from the rotation and revolution of the planet gears are coupled, and the system is influenced by factors such as error excitation and coupling gaps, leading to unclear multi-source, multi-coupled signal modulation patterns [18]. Dynamic modeling and experiments rely on posterior statistical analysis and are affected by complex and uncertain factors, making it difficult to analytically explain the generation mechanism and characteristic patterns of signal features [19,20]. Vibration signals exhibit multisource, multi-amplitude-frequency coupled modulation characteristics, and their spectral signals contain a multi-order Bessel series, resulting in exceptionally complex spectral structures and severe sideband overlapping [21,22,23].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Vibration Signal Modulation Mechanism of Planetary Gear Set Under the Influence of Nonlinear Factors

Jing,

Zhen,

Feng

et al. 2024

Preprint

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The vibration signals of a planetary gear set exhibit rich spectra that can reflect its operating states. In previous phenomenological models, the sidebands are mostly explored under the condition of constant speed. However, the vibration signal is not only affected by internal nonlinear factors such as velocity fluctuations, fault excitation and manufacturing errors, but also by transmission path effects that cause the vibration signal to be further modulated, making it difficult to recognize fault characteristics. To solve this problem, this paper characterizes the actual rotational speed fluctuation through Fourier series, deduces the excitation force model by comprehensively considering the manufacturing error and fault excitation, and establishes a vibration signal model of the planetary gear set by considering the influence of the transmission path effect. Simulation results show that manufacturing errors and sun gear faults cause the meshing frequency to be modulated by the sun gear rotational frequency. Moreover, the vibration signal model considering speed fluctuation reflects the fault characteristic frequency, and the harmonics of the fault characteristic frequency are modulated by the planetary carrier rotational frequency. The spectral distribution pattern is consistent with the frequency distribution of the experimental signal, verifying the accuracy of the model.

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Investigation on planetary gearbox fault mechanism under variable speed conditions based on rigid-flexible coupling dynamics model

Cited by 17 publications

References 33 publications

Comparative analysis of dynamic load characteristics of artillery steering gear based on different MBD methods

Comparative analysis of dynamic load characteristics of artillery steering gear based on different MBD methods

Small sample fault diagnosis for wind turbine gearbox based on lightweight multiscale convolutional neural network

Analysis of Vibration Signal Modulation Mechanism of Planetary Gear Set Under the Influence of Nonlinear Factors

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