An efficient expert system for air compressor troubleshooting

Expert Systems

Volumn 18, Issue 4, 2001, Pages 203-214

  Liu, Shu Chu ^a,c   Liu, Shih Yaug ^b  

^a NATIONAL PINGTUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b I SHOU UNIVERSITY   (Taiwan)

^c NATIONAL PINGTUNG UNIVERSITY   (Taiwan)

Author keywords

Air compressor troubleshooting; Expert system; Fuzzy multiple attribute decision making; Meta knowledge base

Indexed keywords

EID: 0042336939     PISSN: 02664720     EISSN: None     Source Type: Journal    
DOI: 10.1111/1468-0394.00175     Document Type: Article

References (20)

1. CHEN, C.B. and C.M. KLEIN (1997) An efficient approach to solving fuzzy MADM problems. Fuzzy Sets and Systems, 88, 51-67.
2. CHEN, J.G. and K. ISHIKO (1990) Automobile air-conditioner compressor troubleshooting - an expert system approach, Computers in Industry, 13, 337-345.
3. CHEN, S.J. and C.L. HWANG (1992) Fuzzy Multiple Attribute Decision Making - Methods and Applications, Berlin: Springer.
4. CHEN, Z. (1996) Using meta-rules for fuzzy inference control, Fuzzy Sets and Systems, 79, 163-173.
5. CONVERT, R., L. SCHACHER and P. VIALLIER (2000) An expert system for the dyeing recipes, Journal of Intelligent Manufacturing, 11, 145-155.
6. GOODMAN, R.L. (1989) Maintaining and Repairing VCRS, Blue Ridge Summit, PA: TAB Books.
7. IGNIZIO, J.P. (1991) Introduction to Expert Systems: The Development and Implementation of Rule-Based Expert Systems, New York: McGraw-Hill.
8. KRISHNAMURTHI, M. and D.T. PHILLIPS (1992) An expert system framework for machine fault diagnosis, Computers and Industrial Engineering, 22, 67-84.
9. MCCOMB, G. (1988) Troubleshooting and Repairing VCRS, New York: TAB Books.
10. MILLER, I., J.E. FREUND and R.A. JOHNSON (1990) Probability and Statistics for Engineers, Englewood Cliffs, NJ: Prentice-Hall.
11. PRASAD, B.N., S.M. FINKELSTEIN and M.I. HERTZ (1996) An expert system for diagnosis and therapy in lung transplantation, Computers and Biologic Medicine, 26, 477-488.
12. RIBEIRO, R.A. (1996) Fuzzy multiple attribute decision making: a review and new preference elicitation techniques, Fuzzy Sets and Systems, 78, 155-181.
13. ROSS, T.J. (1997) Fuzzy Logic with Engineering Applications, New York: McGraw-Hill.
14. SATYANARAYANA, T., G. SUBRAMANYAM and R.K. RAMA (1995) Implementing an expert system for fault diagnosis of electric equipment, Engineering Applications in Artificial Intelligence, 8, 355-364.
15. SHORTLIFFE, E.H. (1976) Computer Based Medical Consultations: MYCIN, New York: American Elsevier.
16. SUN, C., C. CHAN and P. TONTIWACHWUTHIKUL (1999) Intelligent diagnosis system for a solar heating system, Expert Systems with Applications, 16, 157-171.
17. VRANES, S., M. STANOJEVIC and V. STEVANOVIC (1996) BEST-based expert diagnostic system for the aluminum industry, Computers in Industry, 32, 53-68.
18. WANG, X. and S. YANG (1996) A parallel distributed knowledge-based system for turbine generator fault diagnosis, Artificial Intelligence in Engineering, 10, 335-341.
19. WINSTON, P.H. (1992) Artificial Intelligence, Reading, MA: Addison-Wesley.
20. ZIMMERMANN, H.J. (1991) Fuzzy Set Theory and its Application, Amsterdam: Kluwer Academic.