Effects of gear modifications on the dynamic characteristics of wind turbine gearbox considering elastic support of the gearbox

2017 ◽  
Vol 31 (3) ◽  
pp. 1079-1088 ◽  
Author(s):  
Shuaishuai Wang ◽  
Caichao Zhu ◽  
Chaosheng Song ◽  
Huachao Liu ◽  
Jianjun Tan ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Dynamic Characteristics ◽  
Elastic Support ◽  
Wind Turbine Gearbox

Analysis of Dynamic Characteristics of Gear Transmission System Based on Wind Turbine Gearbox

2013 ◽  
Vol 321-324 ◽  
pp. 9-12
Author(s):  
Wen Jun Yang ◽  
Hui Qun Yuan ◽  
Zhi Min Huang ◽  
Li Se Yang
Keyword(s):  
Wind Turbine ◽  
Dynamic Characteristics ◽  
Degrees Of Freedom ◽  
Transmission System ◽  
Gear Transmission ◽  
Parameter Method ◽  
Wind Turbine Gearbox ◽  
Vibration Direction ◽  
Lumped Parameter ◽  
Gear Transmission System

Based on gear transmission system of 1.5MW wind turbine, dynamic characteristics are analyzed under the effect of both external and internal incentives. Using lumped parameter method, the dynamic model involving 6 degrees of freedom for every helical gear is established with taking the time-varying mesh stiffness and error into account. The results show that the transmission system is quasi-periodic under the operating speed, and the vibration direction of gear with a large amplitude is obtained. This study can be referred to the engineering applications.

Coupled Dynamic Characteristics of Wind Turbine Gearbox Driven by Ring Gear Considering Gravity

2017 ◽  
Author(s):  
Aiqiang Zhang ◽  
Jing Wei ◽  
Datong Qin ◽  
Shaoshuai Hou ◽  
Teik C. Lim
Keyword(s):  
Wind Turbine ◽  
Dynamic Characteristics ◽  
Excitation Frequency ◽  
Load Sharing ◽  
Transmission System ◽  
Dynamic Responses ◽  
Wind Turbine Gearbox ◽  
Precise Integration ◽  
Modeling And Analysis ◽  
Frequency Components

Gravity is usually neglected in the dynamic modeling and analysis of the transmission system, especially in some relatively lightweight equipment. The wind turbine gearbox weight up to tens of tons or even hundreds of tons, and the effects of gravity have not been explored and quantified. In order to obtain accurate vibration response predictions to understand the coupled dynamic characteristics of the wind turbine gear transmission system, a comprehensive, fully coupled, dynamic model is established using the node finite element method with gravity considered. Both time-domain and frequency-domain dynamic responses are calculated using the precise integration method with various excitations being taken into account. The results indicate that gravity has a significant impact on the vibration equilibrium position of central floating components, but the changing trends are different. Gravity does not change the composition of the excitation frequency, but will have a certain impact on the distribution ratio of the frequency components. And the high frequency vibrations are hardly affected by gravity. In addition, the load sharing coefficient is greater when gravity is taken into account, both of internal gearing and external gearing system. When the planet gears have a certain position error in accordance with certain rules, the load sharing performance of the system will be better.

Dynamic characteristics and experimental study on a wind turbine gearbox

2019 ◽  
Vol 33 (1) ◽  
pp. 393-402 ◽  
Author(s):  
Liang Xu ◽  
Caichao Zhu ◽  
Huaiju Liu ◽  
Guo Chen ◽  
Wei Long
Keyword(s):  
Experimental Study ◽  
Wind Turbine ◽  
Dynamic Characteristics ◽  
Wind Turbine Gearbox

Coupled Dynamic Characteristics of Wind Turbine Gearbox Driven by Ring Gear Considering Gravity

2018 ◽  
Vol 140 (9) ◽  
Author(s):  
Aiqiang Zhang ◽  
Jing Wei ◽  
Datong Qin ◽  
Shaoshuai Hou ◽  
Teik C. Lim
Keyword(s):  
Wind Turbine ◽  
Dynamic Characteristics ◽  
Excitation Frequency ◽  
Load Sharing ◽  
Transmission System ◽  
Dynamic Responses ◽  
Wind Turbine Gearbox ◽  
Precise Integration ◽  
Modeling And Analysis ◽  
Frequency Components

Gravity is usually neglected in the dynamic modeling and analysis of the transmission system, especially in some relatively lightweight equipment. The weight of wind turbine gearbox is up to tens of tons or even hundreds of tons, and the effects of gravity have not been explored and quantified. In order to obtain accurate vibration response predictions to understand the coupled dynamic characteristics of the wind turbine gear transmission system, a comprehensive, fully coupled, dynamic model is established by the node finite element method with gravity considered. Both time-domain and frequency-domain dynamic responses are calculated using the precise integration method with various excitations being taken into account. The results indicate that gravity has a significant impact on the vibration equilibrium position of central floating components, but the changing trends are different. Gravity does not change the composition of the excitation frequency, but will have a certain impact on the distribution ratio of the frequency components. And the high frequency vibrations are hardly affected by gravity. In addition, the load sharing coefficient is greater when gravity is taken into account, both of internal gearing and of external gearing system. When the planet gears have a certain position error in accordance with certain rules, the load sharing performance of the system will be better.

scholarly journals Study of Dynamic Characteristics of 2.5-MW Wind Turbine Gearbox

2014 ◽  
Vol 28 (4) ◽  
pp. 314-323
Author(s):  
Jung-Su Kimg ◽  
No-Gill Park ◽  
Ki-Bong Han ◽  
Hyoung-Woo Lee
Keyword(s):  
Wind Turbine ◽  
Dynamic Characteristics ◽  
Wind Turbine Gearbox

Influences of carrier assembly errors on the dynamic characteristics for wind turbine gearbox

2016 ◽  
Vol 103 ◽  
pp. 138-147 ◽  
Author(s):  
Hongfei Zhai ◽  
Caichao Zhu ◽  
Chaosheng Song ◽  
Huaiju Liu ◽  
Houyi Bai
Keyword(s):  
Wind Turbine ◽  
Dynamic Characteristics ◽  
Wind Turbine Gearbox

Fault Diagnosis of Wind Turbine Gearbox Based on Improved QPSO Algorithm

2019 ◽  
Vol 12 (3) ◽  
pp. 277-283
Author(s):  
Jiatang Cheng ◽  
Yan Xiong
Keyword(s):  
Particle Swarm Optimization ◽  
Fault Diagnosis ◽  
Wind Turbine ◽  
Bp Neural Network ◽  
Quantum Particle ◽  
Particle Swarm ◽  
Wind Turbine Gearbox ◽  
Bp Network ◽  
Swarm Optimization ◽  
Quantum Particle Swarm Optimization

Background: The effective diagnosis of wind turbine gearbox fault is an important means to ensure the normal and stable operation and avoid unexpected accidents. Methods: To accurately identify the fault modes of the wind turbine gearbox, an intelligent diagnosis technology based on BP neural network trained by the Improved Quantum Particle Swarm Optimization Algorithm (IQPSOBP) is proposed. In IQPSO approach, the random adjustment scheme of contractionexpansion coefficient and the restarting strategy are employed, and the performance evaluation is executed on a set of benchmark test functions. Subsequently, the fault diagnosis model of the wind turbine gearbox is built by using IQPSO algorithm and BP neural network. Results: According to the evaluation results, IQPSO is superior to PSO and QPSO algorithms. Also, compared with BP network, BP network trained by Particle Swarm Optimization (PSOBP) and BP network trained by Quantum Particle Swarm Optimization (QPSOBP), IQPSOBP has the highest diagnostic accuracy. Conclusion: The presented method provides a new reference for the fault diagnosis of wind turbine gearbox.

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