Web-based fault diagnostic and learning system

International Journal of Advanced Manufacturing Technology

Volumn 18, Issue 7, 2001, Pages 502-511

  Ong, S K ^a   An, N ^a   Nee, A Y C ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Expert systems; Fault diagnosis; Knowledge acquisition; Multi agent sysems

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; DECISION MAKING; EXPERT SYSTEMS; LEARNING SYSTEMS; MULTI AGENT SYSTEMS; SOFTWARE PROTOTYPING;

WEB-BASED FAULT DIAGNOSTICS;

WORLD WIDE WEB;

EID: 0035157234     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s0017010180502     Document Type: Article

References (19)

1. Expert systems as knowledge servers
2. Knowledge-based diagnostic systems in the Internet
3. Remote instrument diagnosis on the Internet
4. Collaborative diagnosis over the Internet: A working experience
5. Guardian: An intelligent autonomous agent for medical monitoring and diagnosis
6. Survey and critique of techniques for extracting rules from trained artificial neural networks
7. New videophones starved for bandwidth
8. Learning rules from the experience of an expert system using genetic algorithms
9. Discovery of rules for medical expert system-rough set approach
10. An integrated approach for fault diagnosis with learning
11. Experience learning in model-based diagnostic systems
12. Tool breakage monitoring by means of fluctuations in spindle rotational speed
13. Metal cutting machine tool design - A review
14. Dynamic state model for on-line tool wear estimation in turning
15. Hybrid learning for tool wear monitoring
16. On-line tool wear monitoring using a PC