潜油电泵机组故障特征提取的实验研究  

Research on Fault Feature Extraction of the Submersible Pump Units

作　　者：陶凤阳[1] 刘广孚[1] 李新光[1] 

机构地区：[1]中国石油大学(华东)信息与控制工程学院,山东东营257061

出　　处：《噪声与振动控制》2012年第2期140-142,167,共4页Noise and Vibration Control

基　　金：国家科技重大专项:海上油田生产运行管理智能决策支持技术研究(2011ZX05024-002-009)

摘　　要：潜油电泵是目前国内外各大油田所使用的主要机械采油设备,常见故障为叶轮偏磨、叶轮砂堵和轴承偏磨。通过采集潜油电泵机组井口振动信号,经过小波分析处理,提取这三种常见故障的典型频率特征,并以此作为故障诊断的依据。进而将该方法应用于现场故障诊断,取得了良好的效果。实验结果表明,在油田实际应用中,该方法能够有效地识别叶轮偏磨、叶轮砂堵和轴承偏磨等常见故障。Currently, electric submersible pump （ESP） unit is the main device for oil extraction in oil fields. Impeller＇ s eccentric wear, impeller＇ s tip screenout and bearing＇ s eccentric wear are the ordinary faults. In this article, the typical frequency features of the three main faults were extracted by acquiring the vibration signals at the wellhead caused by the submersible pump units and analyzing them with wavelet analysis. According to these features, the in-situ fault diagnosis can be completed effectively. Practical application showed that this method can identify these ordinary faults effectively.

关 键 词：振动与波 潜油电泵机组 振动信号 故障诊断 小波分析 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]