DocumentCode
2811669
Title
Research on fault diagnosis of HT-60 drilling rig based on neural network expert system
Author
Liu, Yin ; Zhang, Weiming ; Liao, Zhixin
Author_Institution
Fac. of Mech. & Electron. Inf., China Univ. of Geosci., Wuhan, China
Volume
5
fYear
2010
fDate
22-24 Oct. 2010
Abstract
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.
Keywords
control engineering computing; diagnostic expert systems; drilling (geotechnical); electrical engineering computing; fault diagnosis; mechanical engineering computing; neural nets; HT-60 drilling rig fault diagnosis; artificial neural network expert system; force control software interface; Area measurement; Drilling; Torque; HT-60 drilling rig; expert system; fault diagnosis; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5619156
Filename
5619156
Link To Document