基于多传感数据融合的变速运行齿轮异常振动故障诊断

变速运行齿轮异常振动故障诊断性能过差会增加汽车维护成本,缩短齿轮使用寿命。为了及时识别齿轮故障,保证汽车变速器总成具有良好的振动特性,提出基于多传感数据融合的变速运行齿轮异常振动故障诊断方法。通过分析多传感器数据融合技术,掌握变速运行齿轮异常振动故障诊断的理论框架,并以此为基础,参考传感器融合模块、特征级并行多神经网络局部诊断模块和终端分类模块,结合变分模态分解、多通道加权融合和单隐层前馈神经网络训练算法,从信号采集、信号特征提取和信号特征分类3个步骤实现变速运行齿轮异常振动故障诊断。实验结果表明:在齿轮发生轻度磨损时,磨损振动信号的幅值在20~40 mV之间,磨损振动信号的频率在0~4000 Hz区间;中度磨损时,信号的幅值在30~55 mV之间,信号频率在3000~7000 Hz区间;重度磨损时,信号幅值在50~70 mV之间,信号频率在6000~12000 Hz区间,且各阶段诊断结果均与故障程度的实际转折点吻合。由此可知在各样本数量均相同的情况下,提出的故障诊断方法预测值与真实值均相同,故障程度和故障类型的诊断性能均较好。

基于GMR和VAR的复杂工况下齿轮箱早期异常检测

针对复杂工况下齿轮箱的全寿命周期振动信号进行早期异常检测分析。首先,使用时域同步平均算法对原始数据进行预处理;其次,为了减小工况变化对信号的干扰,基于齿轮运行残差(GMR)信号去除基础啮合频率及其谐波信号,运用EVIEWS软件建立向量自回归(VAR)模型并计算残差;最后,通过计算残差的峭度、标准差和均方根等判断齿轮异常发生的时间点,并与基于时域同步平均的方法进行对比。结果表明,所提方法能够在第109号文件检测出齿轮箱发生早期故障,比现有方法提前20个文件发现异常,为齿轮箱的早期故障诊断和维修决策奠定了基础。

升降伸缩式楼道清洁机器人结构及控制系统设计探析

由于建筑内部结构中,楼道清洁一直是管理人员需要突破的关键技术,加上楼道清洁自身属于重复性的枯燥劳动,所以为了有效解决这一问题。文章首先针对楼道清洁机器人工作原理进行综合分析,并且在此基础上,设计和制定出一款在单片控制功能基础上的升降伸缩式楼道清洁机器人,以此有效完成和实现楼道以及平面的清洁目标。

Bifurcation and chaos study on transverse-torsional coupled 2K-H planetary gear train with multiple clearances

A new non-linear transverse-torsional coupled model was proposed for 2K-H planetary gear train, and gear's geometric eccentricity error, comprehensive transmission error, time-varying meshing stiffness, sun-planet and planet-ring gear pair's backlashes and sun gear's bearing clearance were taken into consideration. The solution of differential governing equation of motion was solved by applying variable step-size Runge-Kutta numerical integration method. The system motion state was investigated systematically and qualitatively, and exhibited diverse characteristics of bifurcation and chaos as well as non-linear behavior under different bifurcation parameters including meshing frequency, sun-planet backlash, planet-ring backlash and sun gear's bearing clearance. Analysis results show that the increasing damping could suppress the region of chaotic motion and improve the system's stability significantly. The route of crisis to chaotic motion was observed under the bifurcation parameter of meshing frequency. However, the routes of period doubling and crisis to chaos were identified under the bifurcation parameter of sun-planet backlash; besides, several different types of routes to chaos were observed and coexisted under the bifurcation parameter of planet-ring backlash including period doubling, Hopf bifurcation, 3T-periodic channel and crisis. Additionally, planet-ring backlash generated a strong coupling effect to system's non-linear behavior while the sun gear's bearing clearance produced weak coupling effect. Finally, quasi-periodic motion could be found under all above–mentioned bifurcation parameters and closely associated with the 3T-periodic motion.

Stability of motion state and bifurcation properties of planetary gear train

A nonlinear lateral-torsional coupled vibration model of a planetary gear system was established by taking transmission errors,time varying meshing stiffness and multiple gear backlashes into account.The bifurcation diagram of the system's motion state with rotational speed of sun gear was conducted through four steps.As a bifurcation parameter,the effect of rotational speed on the bifurcation properties of the system was assessed.The study results reveal that periodic motion is the main motion state of planetary gear train in low speed region when ns<2 350 r/min,but chaos motion state is dominant in high speed region when ns>2 350 r/min,The way of periodic motion to chaos is doubling bifurcation.There are two kinds of unstable modes and nine unstable regions in the speed region when 1 000 r/min<ns<3 000 r/min.

FARVAL喷洒润滑系统在水煤浆制备装置的应用

简要介绍渭河气化装置磨煤工段FAVAL齿轮喷射油自动喷洒系统的配置及其工作过程,齿轮喷洒润滑系统操作维护要点和故障判断,齿轮喷洒系统的重要性及正确运行的意义。