Volume 45 Issue 4
Apr.  2019
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YOU Lingfei, ZHANG Jianguo, ZHAI Hao, et al. Computation method on motional reliability of mechanism under mixed parameters with fuzziness and randomness[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(4): 714-721. doi: 10.13700/j.bh.1001-5965.2018.0433(in Chinese)
Citation: YOU Lingfei, ZHANG Jianguo, ZHAI Hao, et al. Computation method on motional reliability of mechanism under mixed parameters with fuzziness and randomness[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(4): 714-721. doi: 10.13700/j.bh.1001-5965.2018.0433(in Chinese)

Computation method on motional reliability of mechanism under mixed parameters with fuzziness and randomness

doi: 10.13700/j.bh.1001-5965.2018.0433
Funds:

National Natural Science Foundation of China 51675026

More Information
  • Corresponding author: ZHANG Jianguo, E-mail: zjg@buaa.edu.cn
  • Received Date: 17 Jul 2018
  • Accepted Date: 15 Oct 2018
  • Publish Date: 20 Apr 2019
  • Mixed uncertainties of random variables and fuzzy variables are ubiquitous in the parameters of the current mechanism products, but the existing fuzzy reliability model mainly aims at static problems, which cannot describe the time-dependent problem with mixed uncertainty. This paper proposes a reliability modeling and computation method of the fuzzy time-dependent mechanism based on the advanced envelope function through the kinematic error analysis of mechanism and considering the fuzziness of failure criterion and the variables. First, fuzzy criterion can be transferred into random variables in the limit state function. Then, the cut set of fuzzy theory can be used to deal with the fuzzy and random variables, and thus the fuzzy time-dependent reliability model is built. After that, the advanced envolope function is used to calculate the time-dependent reliability of the mechanism. Finally, the feasibility of the method is verified by the motion error issue of four-bar linkage. The results show that the method has high computational accuracy.

     

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