【作者】 王艳平；

【导师】 冯晓东；

【作者基本信息】 北京化工大学 ， 控制科学与工程， 2012， 硕士

【摘要】 润滑油质量好坏关系着各种机械转动设备否正常转动,因此对于润滑油质量的监测至关重要。现有的监测系统能够对润滑油的温度、粘度、密度和介电常数这四个变量进行监测,此外,水分含量也是衡量其质量的重要因素。为了全面评估润滑油的质量,需要将水分含量也纳入到监控中。论文的主要内容如下：首先,搭建了实验室润滑油监测装置,根据课题需要进行润滑油样品的选取,并将样品送到相应的研究院进行水分的多参量标定,从而获得各参量的标准值。同时,根据监测的需求分析,完成和优化监测仪表的总体设计,根据测量要求,进行传感器,微处理器和各种芯片的选型,提出了监测仪表的总体设计方案。其次,完成润滑油监测系仪的软硬件系统设计和调试,仪表采用具有两路CAN总线结构的TMS320F28335,通过CAN网络与流体传感器的通讯,实现多参数的获取,并且实现与上位机的通信功能。精简和优化了润滑油监测仪的硬件设计,进行了抗干扰设计,对数据也采取了相应的容错设计,有效降低了通讯错误率,提高了监测仪的可靠性和稳定性。最后,对润滑油水分预测进行支持向量机建模,构建了润滑油粘度、密度、温度和介电常数与水分之间的模型。借助MATLAB平台中的LIBSVM工具箱,对实验数据进行支持向量机建模,选择最优预测参数,后解析支持向量模型结构,实现将支持向量机模型嵌入到TMS320F28335中,完成润滑油质量参数的全面综合评估测量。更多还原

【Abstract】 The quality of lubrication is very important to engine of motor-driven vehicle, which decides the need of motoring of lubrication. At present, lubrication monitoring system is able to monitor temperature, viscosity, density and dielectric constant. But besides of them there are moisture content and prill which are also important to decide quality of lubrication. So to compliment the lubrication monitoring system, this paper is going to finish the ability of moisture content prediction of lubrication.The first solution is to chose the right lubrication samples. According to the change of moisture content demarcated by authority the samples are picked up and recorded. After the research of relations between each two parameters, the samples are decided to get according to the change of dielectric constant for the intimate relation between moisture contend and dielectric constant.The foundation of lubrication moisture content prediction is Support Vector Machine. Make use of the LIBSVM tool case in MATLAB to complete the prediction. Meanwhile, research the SVM structure deeply to plant SVM model in the slave updated. Then a sophisticated system is finished.Now, lubrication monitoring system contains master and slave. Master communicates with supervisory computer, analysis the orders from supervisory computer, and transfers the order to slave. Slave transfers data displayed in LED to master. However, because of design complexity the monitoring system shows heat and instability, a updated system is need.This subject update lubrication monitoring system chosing STM32OF28335with2CAN buses. CANA communicates with liquid sensor and CANB transfer the5parameters to master to finish the system hardware updation. Software contains SVM to found the prediction in MCU, so the data transferred to master contain5parameters.更多还原