基于网络的机械振动信号分析系统研究

发布时间：2017-12-31 12:10

本文关键词：基于网络的机械振动信号分析系统研究　出处：《华北电力大学》2013年硕士论文　论文类型：学位论文

【摘要】：机械设备的安全稳定运行是确保生产正常进行的先决条件。因此，准确把握机械设备运行状态，及时发现并排除设备故障对生产的顺利进行有重大意义。当前，，机械振动信号分析已成为判断机械设备运行状态的主要方法之一。并且，随着网络技术的日益成熟，基于网络的设备状态监测系统研究不断深入，在资源共享、远程监测方面优势突出。为此，本文设计一种基于网络的机械振动信号分析系统用于判断机械设备运行状态。该系统硬件部分采用网口数据采集卡进行数据采集，软件部分以C++Builder2007为平台进行软件开发。基于网络的机械振动信号分析系统包含振动信号采集、振动信号分析、转子动平衡三个模块。其中，振动信号采集模块包括：普通采集、定时采集、定转速采集三种采集方式。振动信号分析模块可对振动信号进行离线分析，包括：时域分析、频域分析、轴心轨迹分析。转子动平衡模块包括：单平面动平衡、双平面动平衡、谐分量法动平衡。以上三种动平衡方法均采用相位差频谱校正法获得转子工频振动的幅值和相位，提高了所得工频振动幅值和相位的精度。通过实际数据采集，验证了系统采集模块的准确性。通过对不平衡故障信号、油膜涡动故障信号、转子升降速过程振动信号以及滚动轴承故障信号的分析，验证了振动信号分析模块的正确性。利用系统动平衡模块对不平衡转子进行了动平衡，得到了良好的平衡效果。系统具有良好地扩展性，可通过组合方式构成振动信号采集网络。本文的研究在机械设备振动信号的远程采集、分析以及转子动平衡等方面具有良好的应用价值。
[Abstract]:The safe and stable operation of machinery and equipment is a prerequisite to ensure the normal production. Therefore, accurately grasp the running state of mechanical equipment, timely detection and elimination of equipment fault is of great significance for the smooth production. At present, mechanical vibration signal analysis has become one of the main methods of mechanical equipment running status judgment. And, as the network technology the increasingly mature, research on equipment state monitoring system based on network development, in the sharing of resources, highlighting the advantages of remote monitoring. Therefore, this paper designs a method for judging the running state of machine mechanical vibration signal analysis system based on network. The hardware of the system adopts network data acquisition card data acquisition software to C++Builder2007 as a platform for software development. The mechanical vibration signal analysis of the network system includes a vibration signal acquisition based on vibration signal points Analysis of rotor dynamic balance of three modules. The vibration signal acquisition module includes: ordinary acquisition, timing acquisition, constant speed acquisition three acquisition mode. The vibration signal analysis module for off-line analysis, including: the vibration signal time domain analysis, frequency domain analysis, orbit analysis. The rotor balancing module includes: single plane dynamic double plane balance, dynamic balance, dynamic balance harmonic component method. The above three kinds of dynamic balance method using phase difference spectrum correction method for the amplitude and phase frequency vibration of rotor, improve the income of power frequency vibration amplitude and phase accuracy.
Through the actual data acquisition system, to verify the accuracy of acquisition module. Based on the unbalanced fault signal, oil whirl fault signal, the speed of the rotor vibration signal analysis and fault signal of rolling bearing, verify the correctness of the vibration signal analysis module. The module system of dynamic balancing of the rotor unbalance of dynamic balance and get good performance. The system has good scalability, can form a network through a combination of vibration signal acquisition. This research in the remote acquisition of vibration signal of mechanical device, has good application value analysis and rotor dynamic balance.

【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TH165.3;TN911.6

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