2020 ◽  
Vol 88 ◽  
pp. 142-160
Author(s):  
Meng Zhang ◽  
Yang Yang ◽  
Hui Wang ◽  
Liang Wang

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Chunping Li ◽  
Huibing Hao ◽  
Fang Xu ◽  
Guotao Zhao

This paper focuses on system reliability analysis with dependent competing failure process due to soft failure and hard failure. Some new probabilistic methods based on cumulative shock model and nonlinear Wiener process under different shifting thresholds situation are obtained. Considering that nonlinearity exists extensively in practice, the continuous soft failure process is governed by random effected nonlinear Wiener process. Firstly, reliability evaluation models for hard failure and soft failure are obtained under the cumulative shock, respectively. Furthermore, some system reliability models under different shifting thresholds situation are studied, in which failure threshold will decrease after a certain number of shocks. A real numerical example about fatigue crack growth dataset is carried out to demonstrate the proposed procedure. Numerical results indicate that both random shocks and shifting threshold have significant effect on system reliability. Finally, some sensitivity analysis are also been given.


2014 ◽  
Vol 668-669 ◽  
pp. 1597-1600
Author(s):  
Yun Teng ◽  
Yan Ping Cun

Entropy weight comprehensive optimum seeking method is one of the optimization methods of reliability evaluation model. In the optimization process, several empirical models and multiple evaluation indexes were proposed for selecting a best model of reliability evaluation models. Entropy weight is defined to show the importance of evaluation indexes simultaneously. In this paper, an application case of CNC grinding machines was used to describe the optimization method in detail. The analysis result showed that the optimal reliability distribution model of CNC grinder is the mixed welbull distribution, and the method is reasonable and effective.


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