A dynamic model for the planetary bearings in a double planetary gear set

Liu, Jing; Li, Xinbin; Xia, Min

doi:10.1016/j.ymssp.2023.110257

Cited by 59 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compared to conventional designs, slender aircraft have greater wave resistance and are subject to increased reaction forces. Therefore, as civil aircraft are improved, more pronounced and sustained vibrations occur [ 2 , 3 ]. Corresponding to the fatigue theory of engineering mechanics, elastic vibrations in flexible aircraft can reduce their service life and may even damage their mechanical structures at certain specific frequencies, leading to more severe effects [ 3 ].…”

Section: Overview Of the Contributionsmentioning

confidence: 99%

“…Advanced intelligent fault diagnosis methods, together with abundant measurement and simulation information, can greatly improve the performances of various industry mechanical systems. Although a lot of works have been introduced to develop methods for determining the working status of different machines using different detection techniques [ 1 ], it is still challenging to accurately determine the time-varying working status, because practical working conditions are extremely complex and stochastic [ 2 ]. Classical statistical features obtained from the raw vibration signal fail to hold the understanding and steadiness required for fault detection, exclusively in multifaceted noisy situations [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Advanced Vibration-Based Fault Diagnosis and Vibration Control Methods

Song,

Liu,

Xia

2023

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Overview Of the Contributionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Advanced Vibration-Based Fault Diagnosis and Vibration Control Methods

Song,

Liu,

Xia

2023

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the field of multistage compound planet gears and coaxial counter-rotating gears, Liu et al [11] proposed a dynamic model for the Dual-Planetary Gear System (DPGS) that integrates the dynamic characteristics of the planet bearing rollers and retainers. Fyler et al [12] proposed a two-dimensional steady-state discrete dynamic model for a dual-stag planetary gear set.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Dynamic Characteristics of Coaxial Counter-Rotating Planetary Transmission System

Yue,

Chen,

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

This paper presents a coaxial counter-rotating planetary transmission system. The transmission system under study is a two-stage planetary gear train (PGT) comprising a fixed-axes PGT and a differential PGT. A dynamic model of the transmission system is established, considering both the excitations caused by the time-varying mesh stiffness (TMS) and the transmission errors, respectively. The Runge–Kutta algorithm is used to calculate and analyze the dynamic characteristics of the system. This includes studying dynamic meshing forces, planet gear displacements, and load-sharing coefficients (LSCs) under both internal and external excitations, as well as different input torques. The results indicate that when considering external excitations, the variations in the meshing force curves become more pronounced. The radial displacements of the planet gears in the differential PGT are greater than that in the fixed-axes PGT. With increasing input torque, the average displacements of the planet gears in all directions tend to increase. The differential PGT, transmitting a higher power, demonstrates a better load-sharing performance compared to the fixed-axes PGT.

show abstract

“…In addition, some influencing factors can likewise produce different faults in the gearbox, such as unreasonable lubrications, manufacturing * Author to whom any correspondence should be addressed. errors, dynamic loads, contact failures, etc [3,4]. 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.…”

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.

View full text Add to dashboard Cite

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.

show abstract

A dynamic model for the planetary bearings in a double planetary gear set

Cited by 59 publications

References 20 publications

Advanced Vibration-Based Fault Diagnosis and Vibration Control Methods

Advanced Vibration-Based Fault Diagnosis and Vibration Control Methods

Analysis of the Dynamic Characteristics of Coaxial Counter-Rotating Planetary Transmission System

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

Contact Info

Product

Resources

About