人工神经网络识别抽油机井示功图的研究

Analying Dynamomter Card of Well Pumping by Using Artificial Nerve Network Method

利用人工神经网络的基本性能和BP网络模型，可以完成各项信号处理或人工智能任务，它具有学习能力、记忆能力、计算能力及检索功能。应用人工神经网络技术，建立抽油机故障智能系统，能够准确地识别地面示功图，从而诊断抽油机故障。

All kinds of signal process or artificial intelligence task can be done by using foundamenta1 function of artificial nerve network and BP network model. The model has studying, remembering,calculating and searching capacity. By using this kind of technology,the diagnose intelligence system is built up. This system can be used to analyze dynamometer card and diagnoses the fault of the pump.