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Apr 26, 2012
Mining Association Rules on Data of Crane Health-Condition Monitoring
Authors: Zhixin Wang [email protected], Xiong Hu [email protected], and Zhaoneng ChenAuthor Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
Quayside-container-crane health condition monitoring systems result in huge numbers of condition data accumulated in databases. Finding out cranes' conditions changes from these data is actually valuable for equipments' securities. The paper presents a quantitative association rules approach to mine rules (patterns) among the condition data. Sequentially, the relationships between the rules and the crane's condition changes are discussed, and conclusions are made that the transformations of rules can assist in assessing the health conditions of cranes.
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© 2007 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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School of Mechanical Engineering, Shanghai JiaoTong University, China. P.O.Box 68, No.1954 Huashan Road, Shanghai, 200030. E-mail: [email protected]
Department of Mechanical Engineering, Shanghai Maritime University, China. No.1550, Pu Dong Da Dao, Shanghai, 200135. E-mail: [email protected]
Zhaoneng Chen
School of Mechanical Engineering, Shanghai JiaoTong University, China. P.O.Box 68, No.1954 Huashan Road, Shanghai, 200030
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