游梁式抽油机的远程智能故障诊断  

Long distance intelligent fault diagnosis for walk-beam pumping units

作　　者：刘慕双[1] 蔡广新[1] 谢颖[1] 

机构地区：[1]承德石油高等专科学校,河北承德067000

出　　处：《石油矿场机械》2006年第5期15-18,共4页Oil Field Equipment

摘　　要：介绍了游梁式抽油机零部件运行状态参数的监测诊断方法及示功图监测诊断方法,阐述了人工神经网络BP算法及其改进算法在故障诊断中的推理应用。根据油田生产现代化、管理数字化的要求,提出了利用现代传感测试技术、人工智能故障诊断技术、GPRS数据通信技术构造抽油机的远程智能故障诊断网络系统的方案。Detection and diagnosis methods for indictor diagram and function parameters of walk-beam pumping units＇ elements are introduced in this paper. Reasoning method of artificial neural network BP al- gorithm and its improvement in fault diagnosis is explained. Based on the requirement of modern production and digital management in oilfield, the project of long-distance artificial intelligent fault diagnosis network constructed by modern sensing technology, artificial intelligent fault diagnosis technology, GPRS digital communication technology is presented.

关 键 词：抽油机 人工智能 远程 故障诊断 

分 类 号：TE933[石油与天然气工程—石油机械设备]