A generic distributed architecture for nonconformance diagnosing systems

International Journal of Computer Integrated Manufacturing

Volumn 17, Issue 5, 2004, Pages 467-477

  Liu, Wei ^a   Cheraghi, S Hossein ^a  

^a Wichita State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COST EFFECTIVENESS; INFORMATION MANAGEMENT; JAVA PROGRAMMING LANGUAGE; MULTI AGENT SYSTEMS; PROCESS CONTROL; ROBUSTNESS (CONTROL SYSTEMS);

AGILE MANUFACTURING; BLACKBOARD ARCHITECTURE; DISTRIBUTED ARCHITECTURE; OPEN ARCHITECTURE DESIGN;

COMPUTER ARCHITECTURE;

EID: 2942718983     PISSN: 0951192X     EISSN: None     Source Type: Journal    
DOI: 10.1080/09511920410001664353     Document Type: Article

References (16)

1. DAVIDSSON, P. and WERNSTEDT, F., 2002, Software agents for bioprocess monitoring and control. Journal of Chemical Technology and Biotechnology, 77, 761-766.
2. FININ, T., FRITZFON, R., MCKAY, D. and MCENTIRE, R., 1994, KQML as an agent communication language. Proceedings of the 3rd International Conference on Information and Knowledge Management, Gaithersburg, MD, 29 November-1 December, pp. 456-463.
3. GRIFFITH, G. K., 1996, The Quality Technician's Handbook (New York: Prentice-Hall).
4. HOPGOOD, A. A., 2001, Intelligent Systems for Engineers and Scientists (New York: CRC Press).
5. JIAO, J., ZHANG, W., ZHAO, Z. and CHA, J., 1999, An integrated intelligent approach to process diagnosis in process industries. International Journal of Production Research, 37(11), 2565-2583.
6. LAUBER, J., STEGER, C. and WEISS, R., 1999, Autonomous agents for online diagnosis of a safety-critical system based on probabilistic causal reasoning. The Fourth International Symposium on Autonomous Decentralized Systems, 21-23 March, pp. 213-219.
7. LIU, J. and XIAO, D., 1996, Design and implementation of an intelligent fault diagnosis platform. IEEE International Conference on Systems, Man and Cybernetics, 14-17 October, 1, pp. 250-254.
8. MATURANA, F., SHEN, W. and NORRIE, D. H., 1999, MetaMorph: an adaptive agent-based architecture for intelligent manufacturing. International Journal of Production Research, 37(10), 2159-2173.
9. MITCHELL, T., 1997, Machine Learning (New York: McGraw-Hill).
10. NAGATA, T. and SASAKI, H., 2002, A multi-agent approach to power system restoration. IEEE Transactions on Power Systems, 17(2), 457-462.
11. NATIONAL RESEARCH COUNCIL, 1998, Visionary Manufacturing Challenges for 2020 (Washington, DC: National Academy Press).
12. OUELHADJ, D. and HANACHI, C., 2000, Multi-agent architecture for distributed monitoring in Flexible Manufacturing Systems (FMS). IEEE. International Conference on Robotics and Automation, San Francisco, CA, 24-28 April, pp. 2416-2421.
13. TANENBAUM, A. S. and STEEN, M. V., 2002, Distributed Systems: Principles and Paradigms (New York: Prentice-Hall).
14. THOMPSON, N. and SCALPONE, R., 1983, Why fore human factors? Human Factors Society Bulletin, 30(2), 6-7.
15. TIAN, G. Y., YIN, G. and TAYLOR, D., 2002, Internet-based manufacturing: a review and a new infrastructure for distributed intelligent manufacturing. Journal of Intelligent Manufacturing, 13(5), 323-338.
16. WONG, S. and KALAM, A., 1997, An agent approach to designing protection systems. Sixth International Conference on Developments in Power System Protection, Nottingham, UK, 25-27 March, pp. 373-379.