The Transactions of the Korean Institute of Electrical Engineers D (대한전기학회논문지:시스템및제어부문D)

The Korean Institute of Electrical Engineers (대한전기학회)
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An Expert System using Fuzzy and Binary logic for the Fault Diagnosis of Hard Disk Drive Test System

Hard Disk Drive 검사시스템의 고장 진단을 위한 퍼지-이진 논리 결합형 전문가 시스템에 관한 연구

  • 문운철 (중앙대 전자전기공학부) ;
  • 이승철 (중앙대 전자전기공학부) ;
  • 남창우 (삼성전자㈜ 스토리지 사업부)
  • Published : 2004.06.01
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Abstract

Hard Disk Drive (HDD) test system is an equipment for the final test of HDD product by iterative read/write/seek test. This paper proposes an expert system for the fault diagnosis of HDD test systems. The purposed expert system is composed with two cascade inference, fuzzy logic and conventional binary logic. The fuzzy logic determines the possibility of the system fault using the test history data, then, the binary logic inferences the fault location of the test system. The proposed expert system is tested in SAMSUNG HDD production line, KUMI, KOREA, and shows satisfactory results.

Keywords

References

  1. S. H. Kaiser, 'Expert System: An Overview', IEEE Journal of Oceanic Engineering, Vol. 11, No.4, October 1986 https://doi.org/10.1109/JOE.1986.1145205
  2. 양재우, 'Expert System 의 개요', 대한전자공학회지m Vol.12, No.2, 4, 1985
  3. 이재규, 주석진, 오상봉, 전문가 시스템의 응용과 사례분석, 법영사, 1995
  4. 김화수, 조용범, 최종욱, 1998
  5. L. A. Zadeh, 'Fuzzy Sets', Inform. Contr., vol. 8, pp, 338-353, 1965 https://doi.org/10.1016/S0019-9958(65)90241-X
  6. K. S. Leung and W. Lan, 'Fuzzy Concepts in Expert Systems', IEEE Computer, pp. 43-56, September 1988 https://doi.org/10.1109/2.14346
  7. D. S. Yeung and E.C.C. Tsang, 'A Multilevel Weighted Fuzzy Reasoning Algorithm for Expert Systems', IEEE Transactions on System, Man, and Cybernetics, Vol.28, No.2, pp.149-158, March 1990 https://doi.org/10.1109/3468.661144
  8. L. O. Hall, M. Friedman and A. Kandel, 'On the validation and testing of Fuzzy Expert System' IEEE Transactions on System, Man, and Cybernetics, Vol.18, No.6, pp.1023-1027, November/December 1988 https://doi.org/10.1109/21.23103
  9. H. L. Larsen and R. R. Yager, 'The use of fuzzy relational thesauri for classificatory problem solving in information retrieval and expert system', IEEE Transactions on System, Man, and Cybernetics, Vo1.23, No.1, pp.31-41, Jan/Feb 1993 https://doi.org/10.1109/21.214765
  10. S. S. Choi, K. S. Kang, H. G. Kim and S. H. Chang, 'Development of an on-line fuzzy expert system for integrated alarm processing in nuclear power plants', IEEE Transactions on Nuclear Science, Vol.42, No.4, pp.1406-11418, August 1995 https://doi.org/10.1109/23.467727
  11. H. J Cho and J K. Park, 'An expert system for fault section diagnosis of power systems using fuzzy relations', IEEE Transactions on Power Systems, Vol.12, No.1, pp.342-348, February 1997 https://doi.org/10.1109/59.574957
  12. Heung- Jae Lee and etal, 'A fuzzy expert system for the integrated fault diagnosis', IEEE Transactions on Power Delivery, Vol.15, No.2, pp.833-838, April 2000 https://doi.org/10.1109/61.853027
  13. S. M. EL-Shal and A. S. Morris, ' A fuzzy expert system for fault detection in statistical process control of industrial process', IEEE Transactions on System, Man, and Cybernetics, Vol.30, No.2,pp.281-289, May 2000 https://doi.org/10.1109/5326.868449
  14. 문운철, '퍼지 전문가 시스템을 이용한 유리용해로 이상감시 시스템 구축 사례', 한국 지능정보 시스템 학회 논문지, 제8권 1호 pp. 65-73, 2002년 6월
  15. B.Kosco, Neural network and fuzzy systems, Englewood Cliffs, Prentice-Hall, 1992
  16. H. J. Zimmermann, Fuzzy set theory and its applications, Kluwer Academic Publishers, 1991
  17. W. Pedrcz, Fuzzy logic and fuzzy systems, JOHN WILEY & SONS, 1989