Reliability Analysis based on Weibull Distribution Model for Spreaders

被引：0

作者：

Yang, Sen ^{[1
]}

Zheng, Yu ^{[2
]}

Liang, Lei ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China

[2] Shanghai Jiao Tong Univ, Shanghai Key Lab Adv Mfg, Sch Mech Engn, Inst Smart Mfg & Informat Engn, Shanghai, Peoples R China

来源：

PROCEEDINGS OF THE 2017 INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) | 2017年

关键词：

Spreader; reliability analysis; Weibull distribution; correlation coefficient method;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Predicting fault and evaluating reliability are two of the most important tasks for the correct use of spreaders of the port container transportation. With the historical fault data of the spreaders, it is confirmed that the failure time interval observes the Weibull distribution. The correlation coefficient method is used to estimate the location parameter, the shape parameter and scale parameter of the Weibull distribution. MATLAB GUI is used to develop the Weibull distribution parameter estimation tool based on the historical fault data and apply it to the actual spreader fault data analysis.

引用

页码：494 / 498

页数：5

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