基于不确定性推理在抽油机故障诊断中的应用  

Application of fault diagnosis of oil pumping machine based on uncertainty reasoning theory

作　　者：矫立新[1] 陈琛[1] 张岩[1] 

机构地区：[1]兰州理工大学电气工程与信息工程学院,兰州730050

出　　处：《工业仪表与自动化装置》2010年第5期6-10,共5页Industrial Instrumentation & Automation

基　　金：甘肃省自然科学基金资助项目(ZS021-A25-017-G)

摘　　要：介绍了游梁式抽油机各部件在运行过程中可能出现的故障情况,各运行状态参数的监测诊断方法。阐述了基于不确定性推理理论及C-F模型算法在抽油机故障诊断中的推理应用,分析研究结果表明,基于C-F模型的不确定性传递算法易于实现抽油机故障的自动诊断,并能提高故障诊断的准确性。Fault conditions in operation,detection and diagnosis methods for function parameters of walk-beam oil pumping machines′elements were introduced in this thesis.Reasoning method of uncertainty reasoning theory and C-F model algorithm in fault diagnosis was explained.The reasults show that the automatic diagnosis of oil pumping machine′s failure can be realized easily by using the uncertainty reasoning theory based on C-F model algorithm,and the diagnosis accuracy can be improved.

关 键 词：抽油机 不确定性推理理论 C-F模型 故障诊断 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]