基于振动频谱分析的注气压缩机故障诊断  

Fault diagnosis of refrigerator compressor on the vibrating spectral analysis

作　　者：于晓红[1] 张来斌[1] 王朝晖[1] 

机构地区：[1]石油大学(北京)故障诊断实验室,北京102200

出　　处：《石油矿场机械》2005年第5期19-23,共5页Oil Field Equipment

基　　金：国家自然科学基金资助项目(50105015;50375103);北京市科技新星计划资助项目(2003B33);北京市教育委员会共建项目建设计划(编号XK114140478);教育部霍英东青年教师教育基金(编号91051)

摘　　要：针对油田在用的16SGT-MH6型注气压缩机的工作原理及特点,提出并讨论了利用振动频谱分析技术来提取压缩机故障特征的方法,采集关键部件的振动信号作为原始信号,利用智能诊断系统进行数据分析与处理,实现对压缩机的状态监测与故障诊断。该技术已在塔里木油田分公司所属作业区应用42台次,故障诊断准确率达85%左右。The method with the art of vibrating spectral analysis to get characters of compressor fault is brought up and discussed, which is according to the working principle and character of 16SGT-MH6 refrigerator compressor used in oil field. Firstly it gathers vibrating signals in pivotal parts, and these signals will be used as original signals. Then we will analyze and dispose these datas specially with intelligent system of fault diagnosis. Consequently we achieve the result of estate inspection and fault diagnosis of the compressor. The method has been applied 42 times in workstations of Talimu oil field, and the nicety rate reaches 85%.

关 键 词：注气压缩机 振动频谱 故障诊断 特征提取 

分 类 号：TB535[理学—物理]