Applied Mathematics and Mechanics (English Edition) ›› 2000, Vol. 21 ›› Issue (4): 425-432.

• 论文 • 上一篇    下一篇

GENERAL FAILURE PROBABILITY SIMULATION AND APPLICATION FOR MULTI-MODE

吕震宙, 岳珠峰, 冯蕴雯   

  1. Department of Aircraft Engineering, Northwestern Polytechnical University, Xi’an 710072, P. R. China
  • 收稿日期:1998-05-07 修回日期:1999-11-12 出版日期:2000-04-18 发布日期:2000-04-18
  • 基金资助:

    the National Natural Science Foundation of China (59575040, 59775032)

GENERAL FAILURE PROBABILITY SIMULATION AND APPLICATION FOR MULTI-MODE

Lü Zhenzhou, Yue Zhufeng, Feng Yunwen   

  1. Department of Aircraft Engineering, Northwestern Polytechnical University, Xi’an 710072, P. R. China
  • Received:1998-05-07 Revised:1999-11-12 Online:2000-04-18 Published:2000-04-18
  • Supported by:

    the National Natural Science Foundation of China (59575040, 59775032)

摘要: A general failure probability simulation and deviation evaluation methods were presented for fuzzy safety state and fuzzy failure state. And the corresponding number integral method was simultaneously established. As the distribution of state variable and the membership of the state variable to the fuzzy safety set were normal, the general failure probability of the single failure mode had precise analytic solution, which was used to verify the precision of the presented methods. The results show that the evaluation of the simulation method convergences to the analytic solution with the number increase of the sampling. The above methods for the single failure mode was extended to the multi-mode by the expansion and probability principles. The presented methods were applied to the engineering problem. For the number of significant mode is not too many, the high precision solution can be given by the presented number simulation and number integral methods, which is illustrated by the engineering examples. In addition, the application scope of the methods was discussed.

关键词: general failure probability, simulation, failure mode

Abstract: A general failure probability simulation and deviation evaluation methods were presented for fuzzy safety state and fuzzy failure state. And the corresponding number integral method was simultaneously established. As the distribution of state variable and the membership of the state variable to the fuzzy safety set were normal, the general failure probability of the single failure mode had precise analytic solution, which was used to verify the precision of the presented methods. The results show that the evaluation of the simulation method convergences to the analytic solution with the number increase of the sampling. The above methods for the single failure mode was extended to the multi-mode by the expansion and probability principles. The presented methods were applied to the engineering problem. For the number of significant mode is not too many, the high precision solution can be given by the presented number simulation and number integral methods, which is illustrated by the engineering examples. In addition, the application scope of the methods was discussed.

Key words: general failure probability, simulation, failure mode

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