Model-based diagnosis of special causes in statistical process control

International Journal of Production Research

Volumn 35, Issue 6, 1997, Pages 1609-1616

  Dooley, K ^a   Anderson, J ^a   Liu, X ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b 3M COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; FACTORY AUTOMATION; MANUFACTURING DATA PROCESSING; PREDICTIVE CONTROL SYSTEMS;

PREDICTIVE PROCESS MODEL; PROCESS DATA; SET POINT INFORMATION;

STATISTICAL PROCESS CONTROL;

EID: 0031167857     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/002075497195155     Document Type: Article

References (25)

1. ANSI/ASME, 1985, An American National Standard: Surface Texture (Surface Roughness, Waviness, and Lay). ANSI/ASME B46.1-1985.
2. Bourne, J. R., Liu, H. H., Orogo, C. D., Collins, G. C., Uckun, S. U. and Brodersen, A. J., 1991, Organizing and understanding beliefs in advice-giving diagnosis systems. IEEE Transactions on KDE, 3, 269-280.
3. Chryssolouris, G. and Guillot, M., 1990, A comparison of statistical and AI approaches to the selection of process parameters in intelligent machining. Journal of Engineering For Industry, 112, 122-131.
4. Chu, B-T., 1993, Fault diagnosis with continuous system models. IEEE Transactions on SMC, 23 (1), 55-64.
5. Davis, R., 1984, Diagnostic reasoning based on structure and behaviour. Artificial Intelligence, 24 (1-3), 374-410.
6. Dooley, K. and Kapoor, S., 1990, An enhanced quality evaluation system for continuous manufacturing processes, part 1: theory. Journal of Engineering for Industry, 112, 57-62.
7. Dooley, K., Kapoor, S., Dessouky, M. and DeVor, R. E., 1986, An integrated quality systems approach to quality and productivity improvement in continuous manufacturing processes. Journal of Engineering for Industry, 108, 322-327.
8. Dvorak, D. and Kuipers, B., 1991, Process monitoring and diagnosis. IEEE Expert, 6 (3), 67-74.
9. Fink, P. K. and Lusth, j., 1987, Expert systems and diagnostic expertise in the mechanical and electrical domains. IEEE Transactions of SMC, 17, 340-349.
10. Forbus, K., 1987, Interpreting observations of physical systems. IEEE Transactions of SMC, 17 (3), 350-359.
11. Kannatey-Asibu, E. and Emel, E., 1987, Linear discriminant function analysis of acoustic emission signals for cutting tool monitoring. Journal of Mechanical Systems Design and Signalling Procedures, 1 (4).
12. Karsai, G., Sztipanovits, J., Padalkar, S., Biegl, C. and Miyasaka, N., 1990, Models and model building in intelligent process control systems. IEEE International Symposium on Intelligent Control, pp. 351-357.
13. Li, P. and Wu, S., 1988, Monitoring drill wear states by a fuzzy pattern recognition technique. ASME Journal of Engineering for Industry, 110, 297-300.
14. Liu, T. and Wu, S., 1990, On-line detection of drill wear. ASME Journal Engineering for Industry, 112, 299-302.
15. Milne, R., 1987, Strategies for diagnosis. IEEE Transactions of SMC, 17, 333-339.
16. Nawab, N., Lesser, V. and Milions, E., 1988, Diagnosis using the formal theory of a signal processing system. IEEE Transactions of the SMC, 17, 369-379.
17. Pau, L., 1981, Failure Diagnosis and Performance Monitoring (New York: Marcel Dekker).
18. Peng, Y., 1987a, A probabilistic causal model for diagnosis problem solving-integrating symbolic causal inference with numerical probabilistic inference, IEEE Transactions of the SMC, 17, 146-162.
19. Peng, Y., 1987b, A probabilistic causal model for diagnostic problem solving-diagnosis strategy. IEEE Transactions of the SMC, 17, 395-406.
20. Ramamurthi, K. and Hough, C., 1994, A hybrid approach for robust diagnostics of cutting tools. iEeE Transactions of the SMC, 24 (3), 482-492.
21. Ramesh, T., Davis, J. and Schwenzer, G., 1992, Knowledge-based diagnosis systems for continuous process operations based on the task framework. Computers and Chemical Enginering, 16 (2), 109-127.
22. Rangwala, S. and Dornfeld, D., 1990, Sensor integration using neural networks for intelligent tool condition monitoring. ASME Journal of Engineering for Industry, 112, 219-228.
23. Rasmussen, j., 1993, Diagnostic reasoning in action. IEEE Transactions of the SMC, 23 (4), 981-992.
24. Serth, R. and Heenan, W., 1986, Gross error detection and data reconciliation in steammetering systems. Journal of the AICheE, 32 (5), 733-742.
25. Vinson, J. and Ungar, L., 1995, Dynamic process modelling and fault diagnosis using qualitative models. IEEE Transactions of the SMC, 25 (1), 181-189.