【作者】 刘毅；

【导师】 史铁林； 轩建平；

【作者基本信息】 华中科技大学 ， 机械电子工程， 2005， 硕士

【摘要】 往复式压缩机是许多行业的关键生产设备,一旦因故障而停机将会造成巨大的损失,所以构建往复式压缩机故障诊断系统具有重要的意义。本文详细论述了基于嵌入式系统的便携往复压缩机故障诊断系统的软硬件设计和对非线性系统基于参数辨识的故障诊断方法,它们也适用于其它的机械状态监测系统。在简要介绍往复式压缩机工作原理的基础上,分析总结了用来描述压缩机工作状态的方法,针对压缩机的典型故障给出监测方案。分析比较了在线和离线这两种状态监测系统的实现形式,结合实际生产情况,选择离线的方式建立便携式往复压缩机故障诊断系统。接着在前面总结的典型故障监测方法的基础上选择被测物理量,确定测点的位置,建立往复式压缩机的离线状态监测系统。对数据采集方法进行了讨论,详细论述了基于嵌入系统的便携式离线压缩机故障诊断仪器的硬件和软件设计,实现了数据的高速采样和实时处理。针对往复机械冲击较大,采样时间序列非线性现象显著的情况,设计了利用采样数据建立门限自回归模型(TAR)和双线性时序模型(BM)的数据处理软件,并基于此类模型讨论系统参数辨识和故障诊断方法。通过对仿真和实测数据使用该方法进行分析,验证了方法的有效性。最后,对系统的优缺点和需要改进之处进行了讨论,并对将来的研究作了分析和展望。更多还原

【Abstract】 Reciprocating compressors are key equipments in many industries. The results of the faults of the reciprocating compressors will be disastrous. It is necessary for reciprocating compressors to build up a condition monitoring system. This thesis introduced a design of condition monitoring system for reciprocating compressors and a diagnosing method for non-linear system based on system parameter identification. The methods and processes to implement the system are suitable for many other applications in reciprocating machine. First of all, after the introduction of the principle of reciprocating compressors, this thesis analyses the methods that represent the condition of reciprocating compressors and introduces the means of monitoring typical faults of reciprocating compressors. Secondly, two different ways, namely, on-line and off-line ways that are adopted to implement the condition monitoring system are compared. According to the practice, the latter is adopted. The condition monitoring system for reciprocating compressors is built up after selecting variables and samples. Thirdly, the software of the condition monitoring system is discussed. In order to accomplish high-speed data acquisition and real time analysis, we realized a portable off-line compressor analysis instrument based on embedded system. Fourthly, in order to deal reciprocating system’s great impulse phenomenon, we built a non-linear model and designed a software to deal acquired data . By establishing auto-regressive model (TAR) and bilinear model (BM), we can identify system’s parameters, and process failure diagnosing. By analysis acquired and simulated data, testified the diagnosing method. Finally, the merit and modified method of the system was discussed, and several suggestions were given for further research work in the future.更多还原