%0 Journal Article
%T Application of neural network-based expert system in drilling fault diagnosis<br>基于神经网络专家系统的钻井事故诊断
%A WANG Jiang-ping
%A BAO Ze-fu
%A MENG Xiang-qin
%A <br>王江萍
%A 鲍泽富
%A 孟祥芹
%J 计算机应用
%D 2009
%I 
%X Combining the practical conditions and the drilling variables, the drilling fault diagnosis system utilizing the Artificial Neural Network (ANN) to obtain the knowledge and the expert system to reason and diagnose the faults was designed. The knowledge was acquired through constantly learning and training the ANN with varieties of the intricate drilling problems. The definite diagnosis results can be drawn by the reverse reasoning of the expert system. According to the results the drilling parameters will be adjusted automotively. The drilling fault diagnosis system has proved to be practical and effective by the living examples.
%K drilling engineering
%K fault diagnosis
%K neural networks
%K expert system<br>钻井工程
%K 事故诊断
%K 神经网络
%K 专家系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=60F574F34860D86D1816D4B101978E4C&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=CA4FD0336C81A37A&sid=CAA7BAE04CB631A1&eid=5D8C08279A19B0D4&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=8