Application of rough set neural network in fault diagnosing of test-launching control system of missiles

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 2, Issue , 2004, Pages 1790-1792

  Wang, Yuegang ^a,b   Liu, Bin ^b   Guo, Zhibin ^b   Qin, Yongyuan ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b XI'AN RESEARCH INSTITUTE OF HIGH TECHNOLOGY   (China)

Author keywords

Fault diagnosis; Neural network Reduction; Rough set

Indexed keywords

EQUIVALENCE RELATIONS; FAULT DIAGNOSIS; LOGIC EXPRESSIONS;

COMPUTATIONAL COMPLEXITY; DATA MINING; DATA REDUCTION; EQUIVALENCE CLASSES; INTELLIGENT CONTROL; NEURAL NETWORKS; REAL TIME SYSTEMS; REDUNDANCY; ROUGH SET THEORY;

CONTROL SYSTEM ANALYSIS;

EID: 4444264762     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Z. Pawlak, "Rough Sets", Int'l J. Computer and Information Sciences, 11(5), pp. 341-356, 1982.
2. Wang G Y, Liu F, The Inconsistency in Rough Set Based Rule Generation, Proc. 2ed Int'l Conf. Rough Sets and Current Trends in Computing, pp. 332-339. 2000.3
3. Bi Shihua, Liu W Q. A Fault-diagnosis Expert System for the Test-Firing Control Systems of Missiles Based on Neural Network Method. Chines J. Missile, Rocket and Guidance, Vol. 23, No.1, pp. 9-12, 2003.
4. Diamantaras K. l. and S. Y. Kung, Principle Component Neural Networks Theory and Application, John Wiely, 1996.