DocumentCode
569666
Title
Fault diagnosis for hydraulic hoisting system based on the probabilistic SDG model
Author
Lei, Su ; Hua, Song ; Hong, Wang
Author_Institution
Sch. of Autom. Sci. & Electr. Eng., BeiHang Univ., Beijing, China
fYear
2012
fDate
25-27 July 2012
Firstpage
627
Lastpage
630
Abstract
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.
Keywords
Bayes methods; cranes; fault diagnosis; hoists; hydraulic systems; inference mechanisms; trees (mathematics); Bayesian inference; conditional probability; connection tree algorithm; crane hydraulic; fault diagnosis; fault mechanism analysis; fault probability calculation method; figure elimination algorithm; hoisting mechanism; hydraulic hoisting system; part component; probabilistic SDG model; Analytical models; Cranes; Data models; Probabilistic logic; Valves; Winches; Bayesian inference; Fault mechanism analysis; Hydraulic; Probabilistic SDG model;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-0312-5
Type
conf
DOI
10.1109/INDIN.2012.6301196
Filename
6301196
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