液壓泵與馬達(dá)測(cè)試系統(tǒng)的設(shè)計(jì)及其故障診斷
[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.
【學(xué)位授予單位】:廣東工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類號(hào)】:TH137.51
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