Open AccessSerial and parallel reliability models for robot arm reliability analysis
Author(s) -
Songhao Li,
Chen Xu,
Yawen Wang,
Liyang Xie
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1605/1/012043
Subject(s) - reliability (semiconductor) , robot , component (thermodynamics) , reliability engineering , computer science , layer (electronics) , simulation , engineering , artificial intelligence , power (physics) , chemistry , physics , organic chemistry , quantum mechanics , thermodynamics
For reliability evaluation of a robot arm designed for tunnel boring machine, a serial system reliability model for arm strength and a summation (cumulative deformation) system reliability model for the fingers of the robot arm are developed. To reflect the effect of load uncertainty, total probability theorem is applied to develop mult-layer, multi-variate reliability models. With the total probability theorem and the multi-layer configuration of the reliability models, such models reflect the effect of load intensity uncertainty, load action number uncertainty, load peak distribution uncertainty, and component strength uncertainty hierarchically.