Truck Crane Hoisting Boom Reliability Analysis Based on Probabilistic and Interval Hybrid Model and Bayesian Network

被引：1

作者：

Sun Qi ^{[1
]}

Xie Zhengyi ^{[1
]}

Qu Fuzheng ^{[1
]}

机构：

[1] Dalian Univ Technol, Sch Mech Engn, Dalian 116024, Peoples R China

来源：

MACHINE DESIGN AND MANUFACTURING ENGINEERING III | 2014年

关键词：

Reliability analysis; Probabilistic and interval hybrid model; Bayesian Network;

D O I：

10.4028/www.scientific.net/AMM.607.235

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The accidents of truck crane happen frequently during working because of the structure failure of hoist boom, which result in severe economic loss and casualties. So, the method combining probabilistic and interval hybrid reliability theory with Bayesian Network is proposed to analyze the reliability of hoist boom structure. Probabilistic and interval hybrid model is built aiming at the interval variables and random variables to calculate the failure probability of hoisting boom under different conditions. Bayesian Network model is applied to calculate the importance index of different failure causes. In the end of the paper, practical example is given to illustrate the validity and efficiency of the present approach, which can provide basis for hoist boom design based on reliability.

引用

页码：235 / 241

页数：7

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