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为快速、准确地判断抽油井井下工作状况 ,将人工神经网络、常规数学计算及传统知识推理等多种诊断方法集成一体 ,研制出一套集成化的抽油机井工况智能故障诊断系统 ,并论述了该项技术实现的技术思路、系统结构、功能、具体实现原理。与传统的技术相比具有识别速度快、准确率高等特点 ,为实现抽油机井智能化故障诊断提供了一种新途径。
In order to quickly and accurately judge the working conditions of underground pumping wells, an integrated fault diagnosis system for working conditions of pumping wells was developed by integrating many diagnostic methods such as artificial neural network, conventional mathematical calculation and traditional knowledge reasoning Discusses the technical idea, system structure, function and concrete realization principle of this technology. Compared with the traditional technology, it has the characteristics of high recognition speed and high accuracy, which provides a new way to realize intelligent fault diagnosis of pumping wells.