Fault diagnosis for Hydraulic hoisting system based on the probabilistic SDG model

被引：0
|
作者：
Lei, Su [1 ]
Hua, Song [1 ,2 ]
Hong, Wang [3 ]
机构：
[1] BeiHang Univ, Sch Automat Sci & Elect Engineer, Beijing, Peoples R China
[2] Natl Key Lab Space Intelligent Control Technol, Beijing, Peoples R China
[3] China Waterborne Transport Res Inst, Beijing, Peoples R China
来源：
2012 10TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) | 2012年
关键词：
Hydraulic; Probabilistic SDG model; Fault mechanism analysis; Bayesian inference;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Focusing on the hoisting mechanism of crane hydraulic, this paper gives the fault mechanism analysis and fault probability calculation method based on the probabilistic SDG model. The fault mechanism is described by the probabilistic SDG model while the fault propagation is presented by the conditional probability. And so the connection tree algorithm and figure elimination algorithm can be used in Bayesian inference to calculate the fault probability. In case of the given fault, the fault probabilities of the part components can be given.
引用
收藏
页码：627 / 630
页数：4
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