Uncertain accelerated degradation modeling and analysis considering epistemic uncertainties in time and unit dimension

2020 ◽  
Vol 201 ◽  
pp. 106967 ◽  
Author(s):  
Ji-Peng Wu ◽  
Rui Kang ◽  
Xiao-Yang Li
2020 ◽  
Vol 107 ◽  
pp. 113602 ◽  
Author(s):  
Zhenan Pang ◽  
XiaoSheng Si ◽  
Changhua Hu ◽  
Jianxun Zhang ◽  
Hong Pei

Measurement ◽  
2020 ◽  
Vol 152 ◽  
pp. 107395 ◽  
Author(s):  
Zhaojun Yang ◽  
Shizheng Li ◽  
Chuanhai Chen ◽  
Heng Mei ◽  
Yonggang Liu

2016 ◽  
Vol 154 ◽  
pp. 152-159 ◽  
Author(s):  
Jianlin Huang ◽  
Dušan S Golubović ◽  
Sau Koh ◽  
Daoguo Yang ◽  
Xiupeng Li ◽  
...  

2009 ◽  
Vol 15 (3) ◽  
pp. 190-199 ◽  
Author(s):  
William E. Sitzabee ◽  
Joseph E. Hummer ◽  
William Rasdorf

2012 ◽  
Vol 531-532 ◽  
pp. 580-583
Author(s):  
Qing Xia ◽  
Zong Jie Cao ◽  
Yuan Da Wang ◽  
Peng Sun

Traditional reliability analysis of MEMS devices is based on only one failure mode, but paroxysmal failure and degradation failure are simultaneous on one MEMS device which is called as competing failure modes. Accelerated degradation modeling and parameter estimation based on competing failure modes are elementary contents of reliability analysis, in which paroxysmal failure and degradation failure are integrated in the process of educing reliability function, and elementary theories of reliability and statistics are used. The method of accelerated degradation modeling and parameter estimation is proved to be precise in a simulation of accelerated life test on a kind of MEMS device which have the two failure modes: paroxysmal failure and degradation failure, and they are have relations with stress variable: current.


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