弹性支承下三瓣波滚道圆柱滚子轴承振动特性研究

基于滚动轴承动力学理论,建立了弹性支承下三瓣波滚道圆柱滚子轴承动力学微分方程组,采用预估-校正变步长积分算法对其进行求解,研究了弹性支承件的结构参数和轴承工况参数对三瓣波滚道圆柱滚子轴承径向振动的影响。结果表明:弹性支承件的沟槽数、梁厚及过渡角对该轴承径向振动的影响较为显著,而沟槽间隙对其径向振动的影响较小;在一定的载荷和转速范围内,弹性支承件可有效降低轴承的径向振动,选用沟槽数较少的弹性支承件可实现在较大转速和载荷范围内降低该轴承振动的目的;在定冲击载荷范围内,弹性支承能有效降低轴承振动。     

消除滚动轴承非线性振动的理论与方法

根据对转子最大振幅和轴承最大动压力的计算，并着重分析了支承分析了支承硬度和非线性指数对滚动轴承非线性振动的影响，同时，还研究了滚动轴承支承的特性，由此得出采用弹性支承能消除滚动承非线性振动的结论。     

基于弹性支承的磁悬浮轴承转子系统振动控制

为寻找抑制磁悬浮轴承转子系统振动的有效方法,基于有限元分析软件ANSYS对转子系统附加外弹性支承前后的动态特性进行仿真对比分析,同时搭建磁悬浮轴承转子试验台进行试验验证。仿真及试验均表明,通过引入合适的外弹性支承结构,可以有效抑制系统振幅。     

鼠笼式弹性支承-圆柱滚子轴承-转子系统振动分析

考虑圆柱滚子轴承非线性接触力、保持架能量、鼠笼刚度、转子不平衡以及它们之间的力学耦合关系,基于拉格朗日方程建立鼠笼式弹性支承-圆柱滚子轴承-单转子系统动力学分析模型,结合龙格库塔数值积分方法,并对该模型动力学仿真分析,分析了不同转速区域鼠笼式弹性支承-滚动轴承-转子系统振动响应的分岔特性,结果表明:两支点的鼠笼式弹性支...     

固定支承滚动轴承单元在轧机上的应用

分析了精矫机支承辊轴承使用寿命极短的原因 ,提出了把支承辊和轴承合二为一 ,设计成成套轴承组件的改造方案 ,经理论分析和使用证实 ,成套轴承组件的使用寿命大大提高 ,经济效益显著。附图 5幅。     

振动筛滚动轴承的振动特性研究

通过对振动筛滚动轴承振动产生的机理和原因分析,设计合理的载荷、振幅及振动频率等参数并选择合适的轴承类型及精度等级,合理确定轴承与相关零件的配合,提高轴承座的刚度及采用必要的预紧措施和良好的润滑,才能确保振动筛正常工作。     

滚动轴承非线性振动特性探讨

主要研究了滚动轴承支承转子系统的非线性振动及相关的轴承破坏问题。采用滚动轴承的非线性刚度表达式，建立了滚动轴承支承刚性转子系统的力学模型和数学模型；通过对数学模型的求解，得出了系统振动的反应曲线和骨干曲线；揭示了滚动轴承的非线性振动是其高速运转时破坏的原因之一，并从理论上解释了球轴承和滚子轴承的动力特性差异。附图４幅，参考文献３篇。     

滚动轴承振动统计特性分析

利用微机数据采集和分析系统，以数字信号处理技术，全面地研究了滚动轴承振动的统计特性。正常轴承的振动加速度信号是服从正态分布的零均值随机信号，信号的均方根值能正确地描述轴承振动的烈度，鉴别产品的质量水平，它和幅值分布的峭度系数可用于轴承的工况监测和故障诊断。     

滚动轴承振动诊断的SOM神经网络方法

归纳和总结了SOM神经网络多参数诊断法的实施步骤,阐述了轴承故障与振动信号之间的关系以及SOM神经网络的工作原理和实现过程,通过试验研究,提取了反映滚动轴承故障类型的振动信号的特征参数,以构建训练神经网络的特征向量,利用MATLAB 7.0人工神经网络工具箱(ANN)模拟和仿真SOM神经网络,然后用训练后的SOM神经网络对故障模式进行识别。     

滚动轴承系统的寿命与可靠性

分析滚动轴承系统的寿命与可靠性之间的关系,对滚动轴承系统进行了可靠度的分配;对影响滚动轴承额定寿命的各因素进行讨论,并对滚动轴承额定寿命进行修正。     

滚动轴承振动的监测与诊断技术

本文介绍滚动轴承振动的监测原理和监测方案,介绍了采样定理和数据处理方法,最后给出实验结果和分析。     

Effect of lubricant viscosity grade on mechanical vibration of roller bearings

This work aims to characterize vibration behavior of roller bearings as a function of lubricant viscosity. Experimental tests were performed in NU205 roller bearings, lubricated with mineral oil of three different viscosity grades (ISO 10, 32 and 68). The mechanical vibration was determined through the processing and analysis of bearing radial vibration data, obtained from each of the lubrication conditions, during 2 h of test run for temperature stabilization and under several bearing shaft speeds. The applied radial load was 10% of the bearing nominal load. Through root mean square (RMS) analysis of the vibration signals, it was possible to identify specific frequency bands modulated by the change in lubricant viscosity, which was related to change in oil film thickness.     

滚动轴承的正确使用与维护

滚动轴承是机械中最常用到的标准零件之一,常用来承受转轴上的负荷,也是易损元件之一.文章从安装、使用、维护等方面提出了如何正确使用和维护滚动轴承.     

Diagnosis of faults in rolling element bearings by using directional spectra of vibration signals

Backward and forward defect frequencies of rolling element bearings are experimentally investigated utilizing the two-sided directional spectra of the complex-valued vibration signals measured from the outer ring of defective bearings. The experimental results show that the directional zoom spectrum is superior to the conventional spectrum in identification of bearing defect frequencies, in particular the inner race defect frequencies.     

Simulation and analysis of vibration signals generated by rolling element bearing with defects

Dynamic loading of a rolling element bearing structure is modeled by a computer program developed in Visual Basic programming language. The vibration response of the structure to the dynamic loading is obtained using a standard finite element package I-DEAS. A force model is proposed to model the localized rolling element bearing defects. Time and frequency domain analyses are performed for diagnostics of rolling element bearing structures. Statistical properties of the vibration signals for healthy and defected structures are compared. The envelope (HFRT) method is employed in the frequency domain analysis. The effect of the rotational speed on the diagnostics of rolling element bearing defects is investigated. An optimum sensor location on the structure is sought. Effect of the structure geometry on the monitoring techniques is studied. An optimum monitoring method can be employed by analyzing the rolling element bearing structure following the procedure proposed in this study. The present commercial computer aided engineering packages can be used in special engineering applications such as condition monitoring of rolling element bearings.     

Integrated optimal design of flexible mechanism and vibration control

A method of simultaneous optimal design of flexible mechanisms and control with multiple frequency constraints based on the independent modal space control theory is proposed. Firstly, the performance index for simultaneous mechanism and control design is discussed. Secondly, an integrated optimal design algorithm is developed on the basis of Kuhn–Tucker optimality criteria, in which three damping factors are introduced to guarantee the algorithm that possesses good stability and convergence. Finally, numerical simulations are carried out on a path generating mechanism. Simulation results show that the performance of the control input is improved significantly after integrated optimization.     

Faults diagnosis of rolling element bearings based on modified morphological method

In order to effectively smooth noise and extract the impulse components in the vibration signals of defective rolling element bearings, a new modified morphology analytical method has been proposed. In this method, average of the closing and opening operator has been used as the morphology operator. Being the flat and zero adopted as the shape and the height of structure element (SE), respectively, the optimized length of SE is defined by a new proposed criterion (called SNR criterion). The effect of the new method is validated by both simulated impulsive signal and vibration signal of three defective rolling bearings with an outer, an inner and a rolling element faults and compared with Nikolaou’s method. The result shows that the proposed method has the superior performance in extracting impulsive characteristics of vibration signals, especially for the high level noise signals, and can implement better in diagnosis of defective rolling element bearing.     

An adaptive SK technique and its application for fault detection of rolling element bearings

In this paper, we propose an adaptive spectral kurtosis (SK) technique for the fault detection of rolling element bearings. The primary contribution is adaptive determination of the bandwidth and center frequency. This is implemented with successive attempts to right-expand a given window along the frequency axis by merging it with its subsequent neighboring windows. Influence of the parameters such as the initial window function, bandwidth and window overlap on the merged windows as well as how to choose those parameters in practical applications are explored. Based on simulated experiments, it can be found that the proposed technique can further enhance the SK-based method as compared to the kurtogram approach. The effectiveness of the proposed method in fault detection of the rolling element bearings is validated using experimental signals.