液压泵与马达测试系统的设计及其故障诊断
发布时间：2018-11-12 13:01
【摘要】：随着液压技术的发展,液压在整个国民经济和国防行业表现得越来越重要。液压泵和液压马达作为液压系统的动力元件和执行元件,是整个液压系统的核心部分。其性能的好坏直接关系到整个液压系统的可靠性和稳定性。液压泵、马达也是整个液压系统中最容易损坏的元件,其故障部位不易查找。并且为了保证维修之后的液压泵和马达能正常使用,在使用之前必须对其各项性能进行测试。因此设计出带有故障自诊断的液压泵、马达测试系统是十分必要的。本文主要研究的目标是：根据液压泵故障特征设计液压泵故障模式识别软件,能识别出液压泵的正常、柱塞故障、缸体故障和配油盘故障这4种模式；研究液压泵的测试内容,设计液压系统,对维修后的液压泵和液压马达能测试出其主要参数。本文主要从以下几方面进行论述： 1.根据国内外对液压测试技术的研究和企业实际需求,设计出测试系统的液压原理图。比较各企业的液压元件性能和价格,选定测试系统所需要的液压元件。 2.传感器作为测试技术中的基本元件,对测试结果有很大的影响，，通过对比各种传感器特点,确定了本课题中的各种传感器的型号。本文还分析了数据采集卡的主要参数,选用凌华公司生产的PCI-9111DG作为本课题的数据采集设备,并介绍了采集卡上的各引脚的连接。 3.为了能准确的提取液压泵故障类别的特征,本文对小波包技术进行深入的研究,提出了采用小波包三层分解信号,提取第三层各频率段能量值作为模式识别的特征向量。神经网络具有良好的分类效果,本文对比了BP神经网络和概率神经网络对液压泵故障模式分类的效果。最终采用概率神经网络作为本课题的故障识别方法。 4.运用LabVIEW软件设计测试系统软件进行数据采集,数据处理和数据显示。将LabVIEW采集到振动信号传输到MATLAB软件,利用MATLAB编写的故障诊断程序对信号做出诊断,并最终将结果返还到LabVIEW编写的系统中显示。实现了LabVIEW和MATLAB的混合编程。 5.本文运用本课题所设计的系统对液压泵进行故障自诊断和测试,诊断结果和测试结果说明本课题所设计出来的系统能符合企业要求。
[Abstract]:With the development of hydraulic technology, hydraulics is becoming more and more important in the whole national economy and national defense industry. Hydraulic pump and hydraulic motor are the core components of hydraulic system. Its performance is directly related to the reliability and stability of the whole hydraulic system. Hydraulic pump, motor is the most easily damaged components in the whole hydraulic system, its fault location is difficult to find. In order to ensure that the hydraulic pump and motor after maintenance can be used normally, the performance of the pump must be tested before use. So it is necessary to design hydraulic pump with fault self-diagnosis and motor test system. The main purpose of this paper is to design a software for identifying the fault pattern of hydraulic pump according to the fault characteristics of hydraulic pump, which can identify the four modes of hydraulic pump such as normal, plunger, cylinder block and oil distribution disk fault. The main parameters of hydraulic pump and hydraulic motor after maintenance are tested by studying the testing content of hydraulic pump and designing hydraulic system. This paper mainly discusses the following aspects: 1. According to the research of hydraulic testing technology at home and abroad and the actual demand of enterprises, the hydraulic principle diagram of the test system is designed. Compare the performance and price of hydraulic components, select the hydraulic components needed by the test system. 2. As the basic component of the testing technology, the sensor has a great influence on the test results. By comparing the characteristics of various sensors, the model of the various sensors in this paper is determined. This paper also analyzes the main parameters of the data acquisition card, selects the PCI-9111DG produced by Linghua Company as the data acquisition equipment of this subject, and introduces the connection of the pins on the data acquisition card. 3. In order to extract the characteristics of hydraulic pump fault class accurately, the wavelet packet technology is deeply studied in this paper. The wavelet packet three-layer decomposition signal is used to extract the energy value of the third layer frequency segment as the characteristic vector of pattern recognition. Neural network has good classification effect. This paper compares the effect of BP neural network and probabilistic neural network on fault mode classification of hydraulic pump. Finally, probabilistic neural network is used as the fault identification method. 4. LabVIEW software is used to design test system software for data acquisition, data processing and data display. The vibration signal collected by LabVIEW is transmitted to the MATLAB software, and the fault diagnosis program written by MATLAB is used to diagnose the signal. Finally, the result is returned to the system written by LabVIEW to display. The mixed programming of LabVIEW and MATLAB is realized. 5. In this paper, the system designed in this paper is used to self-diagnose and test the hydraulic pump fault. The results of diagnosis and test show that the system designed in this paper can meet the requirements of the enterprise.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH137.51
本文编号：2327181
[Abstract]:With the development of hydraulic technology, hydraulics is becoming more and more important in the whole national economy and national defense industry. Hydraulic pump and hydraulic motor are the core components of hydraulic system. Its performance is directly related to the reliability and stability of the whole hydraulic system. Hydraulic pump, motor is the most easily damaged components in the whole hydraulic system, its fault location is difficult to find. In order to ensure that the hydraulic pump and motor after maintenance can be used normally, the performance of the pump must be tested before use. So it is necessary to design hydraulic pump with fault self-diagnosis and motor test system. The main purpose of this paper is to design a software for identifying the fault pattern of hydraulic pump according to the fault characteristics of hydraulic pump, which can identify the four modes of hydraulic pump such as normal, plunger, cylinder block and oil distribution disk fault. The main parameters of hydraulic pump and hydraulic motor after maintenance are tested by studying the testing content of hydraulic pump and designing hydraulic system. This paper mainly discusses the following aspects: 1. According to the research of hydraulic testing technology at home and abroad and the actual demand of enterprises, the hydraulic principle diagram of the test system is designed. Compare the performance and price of hydraulic components, select the hydraulic components needed by the test system. 2. As the basic component of the testing technology, the sensor has a great influence on the test results. By comparing the characteristics of various sensors, the model of the various sensors in this paper is determined. This paper also analyzes the main parameters of the data acquisition card, selects the PCI-9111DG produced by Linghua Company as the data acquisition equipment of this subject, and introduces the connection of the pins on the data acquisition card. 3. In order to extract the characteristics of hydraulic pump fault class accurately, the wavelet packet technology is deeply studied in this paper. The wavelet packet three-layer decomposition signal is used to extract the energy value of the third layer frequency segment as the characteristic vector of pattern recognition. Neural network has good classification effect. This paper compares the effect of BP neural network and probabilistic neural network on fault mode classification of hydraulic pump. Finally, probabilistic neural network is used as the fault identification method. 4. LabVIEW software is used to design test system software for data acquisition, data processing and data display. The vibration signal collected by LabVIEW is transmitted to the MATLAB software, and the fault diagnosis program written by MATLAB is used to diagnose the signal. Finally, the result is returned to the system written by LabVIEW to display. The mixed programming of LabVIEW and MATLAB is realized. 5. In this paper, the system designed in this paper is used to self-diagnose and test the hydraulic pump fault. The results of diagnosis and test show that the system designed in this paper can meet the requirements of the enterprise.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH137.51
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