Research on Fault Diagnosis of HT-60 Drilling Rig Based on Neural Network Expert System

摘要：

Combining the characteristics of drilling rig fault, a solution of fault diagnosis expert system based on artificial neural network is proposeed. The fault diagnosis system is designed for HT-60 drilling rig, which acquires knowledge by neural network and diagnoses by expert system. The system with characteristics of self-learning and self-adaptive can acquire knowledge from existing data in order to achieve the purpose of expanding knowledge, which maks up the inadequacies of traditional expert system. Through analyzing a variety of common faults and solutions, the software interface is established by using the Force Control software to achieve fault diagnosis which is based on artificial neural network expert system.

关键词： HT-60 drilling rig fault diagnosis neural network expert system

作者: Yin Liu Weiming Zhang Zhixin Liao

作者单位: Faculty of Mechanical & Electronic Information.China University of Geosciences.Wuhan, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 192-194

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）