Nonlinear dynamics modeling and analysis of transmission error of wind turbine planetary gear system

Zhao, Yang; Ahmat, Mutellip; Bari, Kalbinur

doi:10.1177/1464419314536888

Cited by 9 publications

(7 citation statements)

References 11 publications

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“…Second, any small changes in input will enlarge several hundred times in the output side due to its large transmission ratio. [1][2][3][4] Therefore, the tiny fluctuations of design parameters, manufacture errors, or assemble errors will have a very negative impact on the stability and reliability of gear transmission system. Meanwhile, due to the specific factors, such as overhead, difficult installation, and maintenance of the wind turbine gearbox, it is of great significance to the stable and reliable operation of the wind turbine if it can be accurately judged in the early stage of the wind turbine.…”

Section: Introductionmentioning

confidence: 99%

Fault diagnosis of wind turbine gearbox based on wavelet neural network

Chen

Jing

Wang

et al. 2018

Journal of Low Frequency Noise, Vibration and Active Control

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In order to monitor the wind turbine gearbox running state effectively, a fault diagnosis method of wind turbine gearbox is put forward based on wavelet neural network. Taking a 1.5 MW wind turbine gearbox as the target of study, the frequency spectrum of vibration signal and the fault mechanism of driving part are analyzed, and the eigenvalues of the frequency domain are extracted. A wavelet neural network model for fault diagnosis of wind turbine gearbox is established, and wavelet neural network is trained by using different feature vectors of fault types. The relationship between fault component and vibration signal is identified, and the vibration fault of wind turbine gearbox is predicted and diagnosed by network model. The analysis results show that the method can diagnose fault and fault pattern recognition of wind turbine gearbox very well.

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Section: Introductionmentioning

confidence: 99%

Fault diagnosis of wind turbine gearbox based on wavelet neural network

Chen

Jing

Wang

et al. 2018

Journal of Low Frequency Noise, Vibration and Active Control

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show abstract

“…Zhao et al. 21 established a non-linear multi-gap planetary gear system finite element method and the engagement stress; the displacement and the velocity curve with time of nodes of the planetary gear system were obtained by using explicit dynamic solution method. Cho et al.…”

Section: Introductionmentioning

confidence: 99%

“…Wang et al 20 built a dynamic reliability model of components of the system according to the theory of probability of cumulative fatigue damage and studied the influence of random parameters on dynamic reliability of components. Zhao et al 21 established a nonlinear multi-gap planetary gear system finite element method and the engagement stress; the displacement and the velocity curve with time of nodes of the planetary gear system were obtained by using explicit dynamic solution method. Cho et al 22 introduced a structural analysis method of the wind turbine gearbox considering the tooth contact of internal gear system.…”

Section: Introductionmentioning

confidence: 99%

Dynamic characteristics of wind turbine gear transmission system with random wind and the effect of random backlash on system stability

Chen

Wang

Gao

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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In order to study the dynamic characteristics of gear transmission system of wind turbine with random wind and the effect of random backlash on system stability, a stochastic volatility model is established to obtain the external excitation of gear transmission system of wind turbine. A dynamic model of system is set up with the consideration of gear time-varying mesh stiffness, transmission error and backlash. The dynamic behavior of system with random wind and the effect of random backlash on system stability are obtained using numerical method. The results show that: (1) The vibration displacement of system components has the similar trends with external excitation, and the higher the speed, the greater the vibration displacement. (2) Random backlash has a significantly influence on system stability. The instability of system decreases at first and then increases with the increase of mean backlash, and the stability of system decrease with the increase of standard deviation of backlash. The operation stability of a wind turbine will improve if select an appropriate gear backlash.

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“…In respect of planetary gear system, considering the misalignment of the carrier, a new lumped parameter model is set up to analyze the dynamic responses, load distribution along tooth width, load sharing between planets and trajectories of the sun gear. 6 Taking into account of the actual conditions, a type of planetary gear system in the wind turbine is studied by Yang Zhao et al 7 Through transmission system modeling, vibration magnitude prediction and whine noise improvement are presented by micro geometry optimization, and the results confirm that the noise could be reduced by 5-6 dB(A). 8 Also, a system level model is constructed for sensitivity analysis, which shows that whine noise behavior is not vulnerable to bearing preload and the torque input.…”

Section: Introductionmentioning

confidence: 99%

“…6 Taking into account of the actual conditions, a type of planetary gear system in the wind turbine is studied by Yang Zhao et al. 7 Through transmission system modeling, vibration magnitude prediction and whine noise improvement are presented by micro geometry optimization, and the results confirm that the noise could be reduced by 5–6 dB(A). 8 Also, a system level model is constructed for sensitivity analysis, which shows that whine noise behavior is not vulnerable to bearing preload and the torque input.…”

Section: Introductionmentioning

confidence: 99%

Precise model-based simulation for a deep hybrid transmission with compound planetary gear set

Zhang

Zou

2016

Proceedings of the IMechE

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Establishing a precise system level model for transmission system is quite necessary and feasible for today's computer technology. Taking into account of the exact parameters and actual working condition, an accurate model for a new deep hybrid transmission with compound planetary gear set is constructed, which in consideration of the gravity and centrifugal effect. The system level model contains the gears, shafts, bearings, clutches, electric motors and the housings. Few studies are found to investigate structure influence in system level for noise, vibration and harshness performance. Validation for the simulation results with test in three typical working conditions is carried out, which shows a quite well agreement. Furthermore, some parameters for this compound planetary gear set are investigated. The results show that for radial clearance between the ratchet and ring gear the smaller the better, while the axial clearance between the ratchet and ring gear requires cautious consideration to realize a better vibration performance for different planetary gear set. In the case of carrier, the radius of the connection pawl and the thickness of the carrier input shaft have remarkable influence on vibration characteristics. The vibration amplitude is the lowest when these two values equaling to 55 and 7 mm, respectively. Other than that, it is interesting to notice that the carrier position has a significant influence on the system vibration in pure electric drive mode. It is shown that if the planet carrier is fixed and sun gear rotates as input, the position of carrier should keep planet gears at high gravity center and symmetrical distribution on both sides of carrier centerline in the gravitational direction. The vibrational magnitude is the smallest as the carrier rotating 50 along z axis for this compound planetary gear set.

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Nonlinear dynamics modeling and analysis of transmission error of wind turbine planetary gear system

Cited by 9 publications

References 11 publications

Fault diagnosis of wind turbine gearbox based on wavelet neural network

Fault diagnosis of wind turbine gearbox based on wavelet neural network

Dynamic characteristics of wind turbine gear transmission system with random wind and the effect of random backlash on system stability

Precise model-based simulation for a deep hybrid transmission with compound planetary gear set

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