当前位置:主页 > 科技论文 > 电气论文 >

行星齿轮传动系统耦合故障传递特性研究

发布时间:2018-05-02 07:52

  本文选题:行星齿轮传动系统 + 刚柔耦合模型 ; 参考:《天津工业大学》2017年硕士论文


【摘要】:针对风电机组齿轮传动系统中故障信号复杂、微弱而难以识别的问题,从齿轮箱内部动态激励和箱体表面振动响应信号出发,总结了不同故障状态下的故障特征。并通过传递特性分析,揭示故障激励的传递特性及各级啮合之间的连带影响关系,为含行星轮系的多级齿轮传递系统故障诊断提供了理论基础和依据。以风电机组故障模拟试验台为研究对象,分别建立正常状态、定轴齿轮裂纹故障状态、行星齿轮缺齿故障状态、行星齿轮磨损故障状态、定轴齿轮齿根裂纹-行星齿轮缺齿耦合故障及定轴齿轮齿根裂纹-行星齿轮均匀磨损耦合故障状态下试验台系统的三维实体刚柔耦合模型。通过动力学仿真得到对应故障状态下箱体内部各对齿轮啮合处的啮合接触力信号,揭示多级传动系统中3种单故障、2种耦合故障情况下系统内部激励信号故障特征,对实验所测得的箱体表面振动信号具有指导意义。故障状态下箱体表面振动信号成分复杂,且同一故障的故障特征在不同测点反映情况不同,这涉及到振动信号由箱体内部传递至箱体表面时经不同路径而引起的变化。依据系统辨识方法及理论,以上述动力学仿真所得箱体内部轮齿啮合接触力力信号作为输入,以实验所测箱体表面振动响应作为输出,建立信号不同路径下传递函数模型。通过正常及不同故障状态下系统的传递特性进行分析,依据各传递路径的成分组成、幅值变化以及贡献量大小,揭示齿轮内部接触力信号传递至箱体表面响应点过程中的对应路径之间相互影响的连带关系及由此引发的连带故障传递特性,实现了多级齿轮传动系统单一故障、耦合故障状态下故障特征的辅助识别。
[Abstract]:Aiming at the problem that the fault signal in the gear transmission system of wind turbine is complex, weak and difficult to identify, the fault characteristics of different fault states are summarized from the dynamic excitation inside the gear box and the response signal of the surface vibration of the box. Through the analysis of the transmission characteristics, the transmission characteristics of the fault excitation and the joint and several influence relationship between the meshing of all levels are revealed, which provides a theoretical basis and basis for the fault diagnosis of the multi-stage gear transmission system with planetary gear trains. Taking the wind turbine fault simulation test-bed as the research object, the normal state, the fault state of fixed axis gear crack, the fault state of planetary gear missing tooth and the fault state of planetary gear wear are established respectively. Three-dimensional solid rigid-flexible coupling model of the test-bed system under the condition of the tooth root crack of fixed axis gear and the coupling fault of planetary gear tooth root crack and uniform wear of planetary gear. Through dynamic simulation, the meshing contact force signals of each pair of gears in the box body under the corresponding fault state are obtained, and the fault characteristics of the internal excitation signals in the case of three kinds of single faults and two kinds of coupling faults in the multistage transmission system are revealed. It is of guiding significance for the vibration signal of the surface of the box measured by the experiment. The vibration signal components of the surface of the box are complex in the fault state, and the fault characteristics of the same fault are different in different measuring points, which involves the change of the vibration signal from the inside of the box to the surface of the box through different paths. According to the system identification method and theory, the signal of meshing contact force of the inner gear teeth is taken as input, and the vibration response of the box surface measured by experiment is taken as the output. The transfer function model under different paths of the signal is established. By analyzing the transfer characteristics of the system under normal and different fault conditions, according to the composition, amplitude change and contribution of each transfer path, The relationship between the corresponding paths during the transmission of the contact force signal to the response point on the surface of the box and the associated fault transmission characteristics caused by it are revealed. The single fault of the multistage gear transmission system is realized. Assistant recognition of fault characteristics in coupled fault state.
【学位授予单位】:天津工业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM614;TH132.41

【参考文献】

相关期刊论文 前10条

1 祝文颖;冯志鹏;;基于改进经验小波变换的行星齿轮箱故障诊断[J];仪器仪表学报;2016年10期

2 叶舟;赵荣珍;郑玉巧;刘宏;;齿轮故障状态下风电机组传动系统动力学建模及分析[J];机械传动;2016年09期

3 MorandFachot;孟子舒;;风能发展强劲快速——对可再生能源的依赖与日俱增,风力发电发展加快步伐[J];电器工业;2016年09期

4 唐琦;;湖南省山区风电场项目水土保持重点防治区防治措施探讨[J];湖南水利水电;2016年04期

5 赵洪山;高夺;张健平;;风机齿轮箱振动信号的稀疏傅里叶变换分析[J];中国电力;2016年08期

6 顾煜炯;贾子文;王瑞;任玉亭;;基于改进的多元离群检测方法的风机齿轮箱早期故障诊断[J];中国机械工程;2016年14期

7 王枭;;风力机噪声识别发展状况研究[J];科技经济导刊;2016年19期

8 张志斌;王菁;高韬;;齿轮箱故障诊断的频响修正法研究[J];工业技术创新;2016年03期

9 Fan Lei;Wang Shaoping;Wang Xingjian;Han Feng;Lyu Huawei;;Nonlinear dynamic modeling of a helicopter planetary gear train for carrier plate crack fault diagnosis[J];Chinese Journal of Aeronautics;2016年03期

10 陈园艺;孙建平;;基于PSO-SVR和SPC的风电机组齿轮箱故障预警研究[J];电力科学与工程;2016年05期



本文编号:1833023

资料下载
论文发表

本文链接:https://www.wllwen.com/kejilunwen/dianlidianqilunwen/1833023.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户af76a***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com