油液分析在大型盾构机状态监测中的应用

介绍了油液分析在大型泥水一气垫式平衡盾构机状态监测中的应用。对盾构机轴承密封方式进行分析,对主轴承润滑油样进行定期取样监测,发现该盾构机主轴承润滑系统受到油脂污染。根据油液监测的分析结果,对该轴承系统润滑油进行不定期更换和添加新油,使盾构机轴承系统保持良好的润滑状态,从而保证盾构机轴承系统安全运行。     

高温泵轴承失效分析及润滑可靠性监测系统的应用

某重油催化装置油浆泵采用集中油雾润滑方式,油液监测发现轴承润滑油中的金属元素含量高,并且呈急剧增加的趋势,拆机检查发现油浆泵轴承出现了严重磨损。分析该油浆泵轴承磨损原因,提出了采用稀油润滑和油雾润滑组合方式来改善轴承润滑。同时,采用了大型炼化企业机泵群油液监测平台对关键动设备进行状态监测,有效保证了设备长周期安全运行。     

振动筛故障智能诊断系统研究

研究分析一种针对选煤厂振动筛在使用过程中可能出现的振动筛异常振动、激振器轴承故障以及支撑弹簧故障等问题而设计的振动筛故障智能监测系统.该系统通过布置的压力、温度以及加速度传感器等监测振动筛运行状态,并通过软件系统中的自动学习、控制以及预警等功能模块实现振动筛故障智能诊断,可在一定程度上提升振动筛运行保障能力.     

基于油液分析的注塑机的状态监测

本文对一家汽车安全带生产厂的注塑机，冲压机进行了基于油液分析的状态监测，注塑机和冲压机是该厂的重要进口设备。为了获得注塑机运行状况的有关信息以及在该厂进行设备的现代管理视情维修。对该厂家注塑机、冲压机的油液分析持续了一年的时间，在监测中使用了多种监测技术，如：铁谱分析、发射光谱分析、理化指标分析、研究结果表明，使用综合油液分析技术对设备运行状态进行监测，对防止注塑机，冲压机的重大事故和避免代价高昂的事后维修有重要的意义，并对推进该厂的现代设备管理视情维修作出了重要的贡献。     

油液及振动监测在机泵群轴承早期故障预警中的应用

通过对催化裂化装置机泵群的润滑油进行监测,发现油浆泵轴承润滑油中金属颗粒指标异常,且颗粒表面有异常发蓝现象;通过油液监测诊断数据的趋势对比,结合轴承的振动状态监测图谱,实现了高温泵轴承的滚珠体早期故障预警。通过拆检和维修更换等,及时消除设备缺陷,保证了油浆泵与石化装置的健康运行。润滑可靠性监测预警与振动监测能快速、准确地实现隐患预警,为设备的视情维护提供依据。     

合成气压缩机视情诊断

运用油液监测与振动监测诊断手段,对合成气压缩机的运行状态进行视情监测与故障分析。结果表明:合成气压缩机轴承轴瓦处部分区域出现油漆膜现象,引发设备运行时振动异常;应用分析同时表明,集油液信息与振动信息的多信息综合应用更有利于科学、全面的对设备状况进行视情诊断。     

动力装备油液现场多参数监测系统

动力装备的良好工作状态是现代社会健康进步的前提，文提出了润滑液多参数监测的设想。指出通过对润滑油系统的多种参数的检测，结合现代模式识别技术，人们能够较好地掌握设备的运行状态，并且推荐了适宜于现场多参数监测系统的相关技术。     

基于有限元分析和油液监测的轴承疲劳磨损寿命研究

提出有限元分析和油液监测相结合的方法来预测风电机组轴承疲劳磨损寿命。通过ABAQUS有限元分析,结合某风力发电机的实际运行工况,获得风机发电机后轴承的应力分布和应力时间历程曲线,通过雨流计数法和Miner准则,计算出轴承出现疲劳磨损的寿命时间;运用油液检测和铁谱分析实验,得到该风机轴承的润滑脂性能信息和磨损颗粒信息,从而判断出该轴承的润滑和磨损状态。通过结合分析仿真计算和实验的结果,可以更准确地预测和诊断轴承的疲劳磨损寿命和故障,从而提高风电机组运行的可靠性。     

因子分析理论在重型车辆油液分析及状态监测中的应用

对某重型车辆动力系统的润滑油进行光谱分析和PQ分析,利用因子分析原理提取润滑油液中表征磨损信息的主要因子,运用统计学原理得出该车辆监测诊断标准的关键运行状态分界点,研究其磨损状况。该方法分析结果与铁谱分析结果一致,为了解和判断该车辆的磨损可靠性情况提供了依据。     

油液分析法在天然气压缩机故障诊断中的应用

针对胜利油田油气集输公司东营压气站的4KOC天然气压缩机的结构及运行特点，设计出相应的油液分析监测诊断试验方案；分析了机组在运行状态下的主要磨损机理，建立了相应的磨粒图谱，综合评价分析了东营压气站几台试验机组的磨损状态，提出了相应的设备维护应对措施。     

振动平板夯的动力学性能

针对现有振动平板夯运动模型不符合实际工况,受力状态过于简化,提出了一种精细运动模型。分析了振动平板夯的运动过程,导出了平板夯的受力公式。借助有限元分析方法,利用计算机可视化程序,模拟振动平板夯的实际工作情况,获得夯板在各种载荷下的应力和变形值,为振动平板夯的设计、生产及工程应用提供了理论依据。     

Bearing Condition Monitoring for Preventive Maintenance in a Production Environment

Premature failure of machine, tool spindle bearings is a major problem in production that can result in an enormous loss in production and spindle rehabilitation cost. The bearing internal contact force tends to change when the spindle is subjected to abnormal operating conditions. In this paper, the complicated variations in the condition of a grinding spindle in a three-shift production line were studied with a focus on examining the drift of bearing operating conditions over a long period of time. The results show that a stable operating condition was achieved and this condition gradually shifts due to factors such as the start-slop of the spindle between shifts, wear, contamination, and temperature. It is shown in this paper that the bearing condition can be explicitly expressed. on-line in a chart, denoted as a stability margin (SM) chart, where the nominal operating condition can be specified. As a result, predictive maintenance can be achieved try examining the bearing condition in comparison with the nominal operating condition specified in the chart.     

Smart health evaluation of slewing bearing based on multiple-characteristic parameters

A rotational connection between two substructures generally consists of a slewing bearing which is very often used for heavy loads at low speeds. Slewing bearing condition monitoring is a good method to identify the inception and propagation of structural defects at an early stage for timely remedy, and ultimately, enable condition-based “intelligent” maintenance instead of schedule-based. The traditional health evaluation accuracy is not high based on single vibrating signal. We present a new strategy for health evaluation of slewing bearing based on multiple characteristic parameters and the artificial neural networks, and we applied the genetic algorithm to model multiparameters health evaluation. Seventy days fatigue life test was carried out using a special slewing bearing test table and 70 sets data was chosen to input the networks evaluation model for training and evaluation. Test results show that the ANN (Artificial neural network) with GA (Genetic algorithm) optimization converges more easily, takes fewer iterations and shorter training time, and has higher precision and good stability. And the output of multi-parameters health evaluation network model shows a better agreement with the target. The evaluation results were in accordance with the experiment. Therefore, this methodology can be used to evaluate the health state of slewing bearing.     

循环周期图在滚动轴承故障诊断中的应用

在旋转机械状态监测和故障诊断领域中 ,循环平稳信号分析方法正在成为一种重要的处理工具。本文在介绍了二阶循环平稳理论的基础上 ,分析了循环周期图的两种方法 ,并将时间平滑循环周期图法应用到实测滚动轴承振动信号的分析与诊断之中。通过与经典的功率谱分析方法相比较 ,证明循环周期图能够快速有效地识别出滚动轴承的故障 ,并指出其在滚动轴承故障特征提取方面具有很大的应用价值     

用测力轴承实现精密机床工况在线监测

介绍了测力轴承的原理和结构，以及用它构成的磁片切片机刀具工况在线监测系统。这种系统能根据切削力及频谱能量的变化，有效地在线监测刀具工况。     

Design of externally pressurized gas bearings for stiffness and damping

A design method for flat, circular thrust bearings is presented in this paper. The design method is based upon a new dynamic model of the bearing and permits the selection of stiffness and damping for applications of bearings in vibrating environments. Application of the design method to the tuning of bearing dynamics is emphasized here, while the development of the dynamic model is discussed in other references. Design constraints are considered in the iterative design procedure and are illustrated in a bearing design example.     

NFAL Prototype Design and Feasibility Analysis for Self-Levitated Conveying

In order to avoid friction and scratching when conveying object, an acoustic levitation prototype was designed to verify the feasibility. The modal shapes and the forced harmonic shapes of the prototype are obtained by an ANSYS coupled field computation with a one-quarter symmetry model and the levitation capacity was assessed by the use of groups of simulation and physical testing. The simulation results showed that the pure flexural and mixed flexural wave shapes with different wave numbers existed at some specific frequency. The amplitude in the central point of an aluminum plate having four piezo-electric discs glued to the bottom surface was simulated for a frequency spectrum. The experimental results confirmed the theoretical results and the feasibility of the prototype and confirm that objects can be floated at several resonant frequencies under forced vibrating condition. The system can provide largest bearing capacity when both the piezoelectric disc and the plate resonances coincide.     

SHAPE OPTIMIZATION DESIGN OF CRUSH TOOTH USING FINITE ELEMENT METHOD

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金刚石刀具研磨质量的影响因素

金刚石刀具研磨非常困难,影响研磨质量的因素较多。     

三环减速器的弹性静力分析

通过考虑三环传动的过约束特性和机构的弹性变形协调奈件，建立了针对三环减速器受力分析的弹性静力学模型，并用该模型分析了某型三环减速器的受力情况，以厦三环减速器的结构型式和轴承刚度对其受力情况的影响。