Open AccessTime-dependent reliability moment-independent global sensitivity analysis of planar motion mechanisms
Author(s) -
Qianqiao Guo,
Y. S. Liu,
Bingqian Chen
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1043/2/022016
Subject(s) - sensitivity (control systems) , reliability (semiconductor) , moment (physics) , planar , second moment of area , computer science , control theory (sociology) , kriging , index (typography) , linkage (software) , reliability engineering , mathematics , engineering , physics , electronic engineering , artificial intelligence , classical mechanics , power (physics) , biochemistry , computer graphics (images) , geometry , control (management) , chemistry , quantum mechanics , machine learning , world wide web , gene
The planar motion mechanisms are widely applied in aerospace field to realize the scheduled output. A moment-independent global sensitivity analysis method (MIGSA) is developed for time-dependent reliability of planar motion mechanisms. The defined sensitivity index can indicate the influence of the uncertainty of the input variables in the entire uncertain region on time-dependent reliability of the planar motion mechanisms. An active learning Kriging (ALK) model is established to solve time-dependent failure probability as well as sensitivity index efficiently. A representative rack-and-pinion steering linkage example is investigated for validating its significance of the time-dependent reliability MIGSA method in this paper, and the efficiency of ALK method for approximating the time-dependent reliability MIGSA index.