浸油闭式齿轮磨损率在线监测系统设计与分析

发布时间：2018-03-04 19:34

本文选题：浸油齿轮　切入点：异常磨损　出处：《南京理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着我国工业的不断发展,齿轮传动在工业生产中发挥的作用越来越大,提前预测出齿轮异常磨损显得越来越重要。尽管国内齿轮磨损检测方法多种多样,但是用于预测齿轮异常磨损的并不多,且很少涉及到用齿轮磨损率检测齿轮磨损状态。本文利用上位机LabVIEW开发一种基于变化率形式检测浸油齿轮磨损率的在线监测系统,该系统能够实时连续的采集齿轮箱油液中铁磁性颗粒尺寸大小和油液品质数,通过上、下位机工作模式,实现了齿轮磨损的实时监测和提前预测,且系统结合了总值方式监测齿轮磨损状况的优点,增强了判别齿轮异常磨损的准确性以及判别效率。首先,为提高油液磨粒的检测范围,设计了一款新结构的磨粒传感器,并提供设计理论。通过对比仿真验证,证实了设计磨粒传感器确实能提高磨粒检测范围,并建立了磨粒尺寸与信号输出之间的关系。其次,根据设计传感器的输出信号设计了磨粒检测电路,并搭建了嵌入式硬件平台,完成了磨粒信息与润滑油品质信息的处理。根据变化率理论,搭建嵌入式软件开发平台,实现了齿轮磨损率的监测,并开发上位机监测中心,实现了齿轮磨损的实时监测。最后,对设计的硬件电路进行电路测试,证实设计电路的可行性。通过对设计系统的系统测试以及实验,证实了设计系统能够提前预测齿轮异常磨损,并证实了以变化率形式结合总值方式监测齿轮异常磨损,能提高判别齿轮异常磨损的准确性以及判别效率。设计系统达到了预期目标。
[Abstract]:With the development of industry, more and play the function of gear transmission in the industrial production of the larger, predict abnormal wear of gear is becoming more and more important. Although the domestic gear wear various detection methods, but for the prediction of abnormal wear of gear is not much, and rarely involve the gear wear rate detection gear wear condition. In this paper, the use of PC LabVIEW to develop a online monitoring system for the rate of change of form of gear wear rate based on the detection of oil, the system can collect real-time continuous gearbox oil liquid iron magnetic particle size and oil quality, the lower machine, working mode, to achieve real-time monitoring of the gear wear and predict in advance, and the system combines the advantages of the gross way of monitoring gear wear condition, enhances the accuracy and efficiency of the identification of abnormal wear of gear. First of all, in order to improve the oil The detection range of liquid abrasive particles, abrasive designed a new sensor structure, and provides the design theory. By comparing the simulation results confirmed that the design of abrasive abrasive sensor can improve the detection range, and establishes the relationship between the grain size and the signal output. Secondly, according to the design of the sensor output signal the design of particle detection circuit, and an embedded hardware platform, complete the processing of debris and oil quality information. According to the rate of change of theory, build the embedded software development platform, to achieve the monitoring of gear wear rate, and the development of the PC monitoring center, to achieve real-time monitoring of the gear wear. Finally, for the circuit test of hardware circuit design, circuit design feasibility. Based on the system design system testing and experiment, confirmed that the design system can predict abnormal wear of gear, and confirmed The abnormal wear rate of gear is monitored by changing rate form and total value. It can improve the accuracy and efficiency of judging the abnormal wear of gears. The design system has achieved the expected goal.

【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TH132.41

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