共查询到19条相似文献,搜索用时 171 毫秒
1.
研究油液中固体颗粒的形态特征,是液压系统污染分析和实施污染控制的基础.本文提出了液压系统污染颗粒的形态特征参数体系,并运用显微成像原理和实时图像信息获取技术获得油液中颗粒的实时图像,然后通过计算机图像处理技术,实现了污染颗粒的特征参数的定量测量. 相似文献
2.
3.
4.
5.
《振动、测试与诊断》2020,(3)
为了提高油液中与设备运行状态相关信息的提取效率,获取更为完整的信息来评估设备的当前状态,提出一种设备油液监测技术——全谱技术。基于全谱法制备油液污染颗粒全谱片,首先,利用图像分割技术、自动计数算法、模糊支持向量机模型实现谱片分析流程的自动化,完成谱片信息的智能提取,以此获取反映设备运行状态的关键信息;其次,将该技术应用到旋挖钻机设备的状态监测诊断中,通过对设备液压油、齿轮油中悬浮颗粒的定性、定量分析,实现了设备当前润滑、磨损状态的定性评估,为旋挖钻机的维修维护提供了指导。结果表明,油液全谱技术能够完整、快速、准确地提取油液中包含的信息来反映设备的运行状态,具有检测效率高、分析内容丰富的特点,可进一步推广应用到其他设备的油液监测诊断工作中。 相似文献
6.
为了提高油液中与设备运行状态相关信息的提取效率,获取更为完整的信息来评估设备的当前状态,提出一种设备油液监测技术——全谱技术。基于全谱法制备油液污染颗粒全谱片,首先,利用图像分割技术、自动计数算法、模糊支持向量机模型实现谱片分析流程的自动化,完成谱片信息的智能提取,以此获取反映设备运行状态的关键信息;其次,将该技术应用到旋挖钻机设备的状态监测诊断中,通过对设备液压油、齿轮油中悬浮颗粒的定性、定量分析,实现了设备当前润滑、磨损状态的定性评估,为旋挖钻机的维修维护提供了指导。结果表明,油液全谱技术能够完整、快速、准确地提取油液中包含的信息来反映设备的运行状态,具有检测效率高、分析内容丰富的特点,可进一步推广应用到其他设备的油液监测诊断工作中。 相似文献
7.
为确定污染度等级,将计算机技术与图像处理技术相结合开发了OCMS2006油液污染度测试系统.该系统通过获取固体颗粒污染物试验样片的数字显微图像,利用数字图像处理技术进行分析,并在Visual C 环境下进行开发操作,从而确定油液污染度的等级.该方案测试结果准确,可以进行定量和定性测试,具有较广泛的应用前景,为油液污染度测试技术的发展提供了新的途径和方法. 相似文献
8.
三种常用油液污染度表示法之间关系的理论研究 总被引:3,自引:0,他引:3
理论推导了油液固体污染颗粒粒度概率密度、污染颗粒数量、ISO 4406污染度、NAS 1638固体颗粒污染度及污染颗粒质量之间的关系。算例表明,在常见污染范围里,油液的ISO 4406污染度与NAS 1638固体颗粒污染度之间近似呈线性关系;NAS 1638固体颗粒污染度随油液中固体污染物质量的增加而增加,两者大体呈指数关系。 相似文献
9.
飞机液压伺服系统油液的污染控制 总被引:1,自引:0,他引:1
简要分析了某型飞机液压伺服系统油液污染来源渠道及对液压伺服机构的危害,并针对隐藏于飞机在加工、制造过程中的油液污染;飞机液压系统内部形成的油液污染;外部侵入系统的油液污染情况提出了有效控制措施;以及对临界污染颗粒控制。 相似文献
10.
阐述了油液固体颗粒污染的来源和危害,介绍了五种油液固体颗粒污染度的测试方法:重量法、显微镜计数法、自动颗粒计数法、显微镜对比法、网式堵塞计数法,并针对这五种方法的工作原理、优缺点进行了对比分析。 相似文献
11.
12.
研究了基于发动机滑油滤磨屑图像的磨损状态自动识别技术。首先采用最大熵法和数学形态学方法,提取滑油滤磨屑图像中反映磨损状态的特征量;然后采集反映正常状态的航空发动机滑油滤图像,通过图像分析与特征提取,构造出仅包含正常样本的训练样本集,最后用野点检测方法对训练样本进行学习,并使用遗传算法对野点检测参数进行优化,得到了滑油滤磨屑图像的正常域,并以此来识别航空发动机磨损状态的严重程度。开发了发动机滑油滤监控系统(engine oil filter monitoring system,EOFMS),实现了基于野点检测的磨屑图像识别功能,并利用实际航空发动机滑油滤磨屑图像进行了实验分析,结果验证了该方法的有效性。 相似文献
13.
Enhancement of oil debris sensor capability by reliable debris signature extraction via wavelet domain target and interference signal tracking 总被引:1,自引:0,他引:1
On-line oil debris monitoring is an effective approach to detecting machine component wear through estimating the size and the quantity of metallic debris in the lubricating oil. However, oil debris (particle) signatures are often contaminated by background noise and vibration interference during the operation of the oil debris sensor. As such, the accuracy of debris measurement and counting depends largely on the authenticity of the extracted debris signature. Considering characteristics of both target and interference signals obtained by the oil debris sensor, we propose a novel debris signature extraction technique to improve the oil debris measurement capability based on the wavelet domain information. In each wavelet scale of the oil debris sensor output signal, the debris coefficients are detected based on the singularity of the debris signal. The interference coefficients are estimated by adaptive linear prediction. The overlapped debris and interference coefficients are separated by a new prediction strategy involving alternating applications of forward and backward predictors. The differences between the mixture and the estimated interference coefficients are employed to reconstruct the debris signature. The proposed technique is evaluated using both uni- and bi-excitation experimental data and compared with a recently reported method. The experimental results and comparisons indicate that the proposed new method can extract the debris signature more truthfully, and thus improve the oil debris monitoring accuracy in real applications. 相似文献
14.
光纤油液污染监测传感器设计 总被引:2,自引:0,他引:2
基于Beer-Lambert定律,悬浮在油液中的污染颗粒对入射光有吸收和散射作用,因此可根据发光强度的变化来反映油液污染度的变化情况。设计了光纤传感器探头,分析了其关键技术。为了实现在线实时检测。提出了正交光路的检测方法,初步的实验数据表明该传感器可反映油液的污染度水平,尽管目前仍旧存在一些问题,但光纤检测技术以其具有的优点将会成为最具生命力和应用前景的新的检测方法。 相似文献
15.
16.
H.S. Ahn E.S. Yoon D.G. Sohn O.K. Kwon K.S. Shin C.H. Nam 《Tribology International》1996,29(2):161-168
In order to identify the level of contamination of lubricating oil in a turbine-generator at a local power plant, contaminant analysis was conducted. The contaminant analysis was also used to assess the condition of tribo-components such as bearings, gears and bearing deflectors. Oil samples were taken and the debris in the used lubricating oil were analysed off-line to provide information for the construction of an on-line monitoring system. Statistical analysis of debris was also carried out to determine the quantitative trend of oil contamination. The on-line contaminant monitoring system was then developed with the capabilities to provide an early warning of excessive oil contamination and to detect any impending failures of tribo-components. Guidelines necessary for maintenance engineers such as preset warning level and a trip level (automatic shutdown) of contamination were established. In the system, a device utilizing a filter blockage principle was employed to measure the contamination level. The on-line system developed was installed and field tested in a turbine-generator at a local power plant. During the two year period of investigation, the lubricating system and related tribo-components were revealed to be in normal condition. 相似文献
17.
An on-line visual ferrograph (OLVF) characterized by direct reading and on-line analysis was developed based on magnetic deposition and image analysis. A digital sensor was integrated with a CMOS image sensor to obtain images of deposited wear debris under illumination conditions. An electromagnetic instrument was designed to deposit the wear debris flowing through an oil flow channel. The oil flow channel, fixed on the electromagnet, was arranged parallel to the magnetic flux in the air gap between two electromagnet poles. The deposition effect on wear debris was analyzed theoretically. The result shows that the wear debris in different sizes can be deposited in the same zone by controlling the oil flow rate and magnet field intensity. Corresponding application software for image sampling and processing was developed. An index of relative wear debris concentration, IPCA (Index of Particle Coverage Area), is given as an output in addition to wear debris images. Finally, two kinds of experiments were specified to assess the effect and validity of the OLVF. The results show that the OLVF has effective deposition and identification for both relatively large and small wear debris with rational control parameters. The validity examinations with the commercial particle quantifier (PQ) and direct reading ferrograph (DR) show that the OLVF has an approaching trend to the reference instruments in both heavily and lightly contaminated oil. 相似文献
18.
Water from the atmosphere affects all rails, depositing in quantities far greater than the minute amounts of oily contamination normally present. Laboratory experiments are described which show how water reduces friction between rail and tyre steel surfaces. Depending on the amount of oily contamination the friction coefficient is reduced to a value between 0.3 (no oil present) and the friction which is characteristic of an excess of the oil. Lower friction on oil-free surfaces is observed using laboratory machines which involve continuous rolling; water mixes with wear debris or surface rust to form a lubricating paste and friction coefficients as low as 0.05 result. The lowest friction occurs when the ratio of water to debris is small and a viscous (non-Newtonian) paste is formed which is observed on the laboratory rigs for a few seconds whenever wetted surfaces are on the point of drying completely. Trains similarly encounter low adhesion in slightly wet conditions, most noticeably on little used lines where a substantial coverage of debris particles is present on the wear band. 相似文献
19.
本文提出了一种基于位置预测的动态规划方法,用于快速检测GEO带天基观测图像中的暗弱碎片。首先对实测数据进行分析,得出不同GEO碎片在图像中的运动速度相似,接着,进一步对数据做拟合,得到了GEO碎片速度和观测卫星星下点纬度之间的映射模型,并提出了GEO带天基观测图像中碎片速度估计方法。最后,利用估计速度预测碎片位置,在传统动态规划递归方程中采取位置信息加权,得到了基于位置预测的目标搜索范围,从而减少了递归方程中的目标状态个数。实测数据验证了速度映射模型的拟合偏差在1pixel以内。选取一个典型观测周期的实测数据进行实验,结果表明本文方法的检测时间比传统动态规划方法减少了90%以上,虚警率降低了5.9%以上,适合于GEO带天基观测图像中暗弱碎片的检测。 相似文献