大型离心压缩机远程诊断关键技术研究

发布时间：2018-12-08 08:37

【摘要】：离心压缩机是石油、化工等部门生产中广泛应用的大型旋转机械设备,保障离心压缩机的设备使用率,对于石油、化工企业有着重要的意义。由于大型离心压缩机分布较广,对于生产厂家来说,如果能够通过互联网实时的监测设备的运行状态,对于设备后期的故障诊断具有重要的意义。要想能够准确的对大型离心压缩机故障进行远程诊断,就必须解决故障数据的有效采集、传输、存储、处理以及故障的准确判断等关键问题。本文通过对某远程诊断中心数据传输特性、数据存储机制的研究,提出了采用断点续传功能的传输方法和灵敏监测方法的存储机制,有效的解决了数据传输完整性和数据存储量过大的问题。利用haar、bior1.1、db4小波对转子不平衡信号进行变换压缩,三种小波在变换后都能反映出故障信号特征,其中haar、bior1.1小波对转子不平衡信号变换压缩取得了很好的压缩比。由此可见,选择恰当的小波对故障诊断信号进行变换压缩是必要的。通过对大型离心压缩机典型故障和分析方法的研究,结合远程故障诊断的实际情况,利用LabVIEW软件开发出远程监测诊断系统,该系统包括数据采集、远程传输、滤波、数据变换、时域分析、频域分析及轴心轨迹分析等模块。利用该系统对大型离心压缩机转子不平衡和油膜振荡典型故障进行了分析,并在生产实际中得到了验证。
[Abstract]:Centrifugal compressor is widely used in the production of petroleum, chemical and other departments of large-scale rotating machinery equipment, to ensure the centrifugal compressor equipment utilization rate, for petroleum, chemical enterprises have an important significance. Because of the wide distribution of large centrifugal compressors, it is of great significance for the manufacturers to monitor the running state of the equipment in real time through the Internet, which is of great significance for the fault diagnosis in the later stage of the equipment. In order to accurately diagnose the fault of large centrifugal compressor, it is necessary to solve the key problems such as the effective collection, transmission, storage, processing and accurate judgment of fault data. Based on the study of data transmission characteristics and data storage mechanism of a remote diagnosis center, this paper presents a transmission method using breakpoint continuation function and a storage mechanism of sensitive monitoring method. It effectively solves the problems of data transmission integrity and excessive data storage. The haar,bior1.1,db4 wavelet is used to transform and compress the rotor unbalance signal. The three kinds of wavelets can reflect the characteristics of the fault signal after the transformation. Among them, the haar,bior1.1 wavelet achieves a good compression ratio for the rotor unbalance signal transform compression. Therefore, it is necessary to select the proper wavelet to transform and compress the fault diagnosis signal. Based on the study of typical faults and analysis methods of large centrifugal compressor and the actual situation of remote fault diagnosis, a remote monitoring and diagnosis system is developed by using LabVIEW software. The system includes data acquisition, remote transmission, filtering, data transformation, etc. Time domain analysis, frequency domain analysis and axis trajectory analysis module. The typical faults of rotor unbalance and oil film oscillation of large centrifugal compressor are analyzed and verified in production practice.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TP274;TH452

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