Journal of Mechanical Science and Technology

  • 제17권4호
  • /
  • Pages.492-500
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  • 2003
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  • 1738-494X(pISSN)
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  • 1976-3824(eISSN)
대한기계학회 (The Korean Society of Mechanical Engineers)
권호 표지

Simulation of Fuzzy Reliability Indexes

  • Dong, Yu-Ge (School of Mechanical & Automotive Engineering, Hefei University) ;
  • Chen, Xin-Zhao (School of Mechanical & Automotive Engineering, Hefei University) ;
  • Cho, Hyun-Deog (School of Mechanical Engineering, Kyungil University) ;
  • Kwon, Jong-Wan (School of Mechanical Engineering, Kyungil University)
  • 발행 : 2003.04.01
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초록

By means of the transformation from the problem of fuzzy reliability to the problem of general reliability, a model for analyzing fuzzy reliability is introduced in this paper Because of the complexity of the Problem of the fuzzy reliability, generally speaking, the analytical equations for calculating fuzzy reliability indexes of machine part cannot be obtained in most cases. Therefore, in this paper, an approach is given wherein progressions are employed to calculate them, or a simulation approach is used to estimate them by expressing general reliability indexes as progressions. By utilizing the approach put forwards in the paper, the calculating quantity for analyzing the fuzzy reliability will be reduced : even substantially reduced sometimes. Some examples are taken to explain the feasibility of the model and a simulation approach.

키워드

참고문헌

  1. Chen, Y., 1988, 'Calculation of Strength of Machine Part with Fuzzy Information,' Machine Strength, Vol. 10, No. 4, pp. 15-21
  2. Cheng, G. W., 1995, 'Fuzzy Reliability Design of Rigidity of Axis-like Part,' Journal of Machine Disign, Vol. 12, No. 4, pp. 18-20, 24
  3. Dong, Y. G., 1999a, 'Study on Fuzzy Reliability Design Approach while Fuzzy Strength is in the Form of constant Stress,' Mechanical Science and Technology, Vol. 18, No. 3, pp. 380-382
  4. Dong, Y. G., 1999b, 'Study on Fuzzy Reliability Design Approach with Discrete Fuzzy and Random Variables,' Machine Design and Research, No. 1, pp. 17-18
  5. Dong, Y. G., 1999c, 'Study on Fuzzy Reliability Design Approach while Fuzzy Strength is in the Form of Random Stress,' Machine Design, Vol. 16, No. 3, pp. 11-13
  6. Dong, Y. G., Chen, X. Zh. et al., 2000, 'Study on Approach of Mechanical Reliability in consideration of Fuzzy information and Its Application,' Journal of Applied Sciences. Vol. 18, No. 5, pp. 448-455
  7. Dong, Y. G., 2000, 'Fuzzy Reliability Design with Fuzzy Variable and Random Variable,' Chinese Journal of Mechanical Engineering, Vol. 36, No. 6, pp. 25-29 https://doi.org/10.3901/JME.2000.06.025
  8. Go, S. J., Lee, M. C. et al., 2001, 'Fuzzy-Sliding Mode Control of a Polishing Robot Based on genetic Algorithm,' KSME International Journal, Vol. 15, No. 5, pp. 580-591
  9. Kim, S. J. and Lee, J. S., 2000, 'Development of Global Function Approximations for Design Optimization Using Evolutionary Fuzzy Modeling,' KSME International Journal, Vol. 14, No. 11, pp. 1206-1215
  10. Lin, G. X., 1994, 'Calculation of Fuzzy Probability of Machine Part under Constant and Mutative Load,' Machine, Vol. 21, No. 3, pp. 30-32
  11. Wang, G. Y., 1986, 'Analysis of Fuzzy Reliability of Aseismatic Structure,' Chinese Journal of Mechanics, Vol. 18, No. 5, pp. 448-455
  12. Wang, C. H., and Song, L. T., 1988, 'Methodology of Fuzzy Mathematics,' China Architecture & Building Press
  13. Yang, L. B. and Gao, Y. Y., 1992, 'Fuzzy Mathematics Theory and Application,' South China University & Technology Press