DocumentCode
2789331
Title
The improvement of Apriori algorithm and its application in fault analysis of CRH EMU
Author
Zhang, Chun ; Xie, Dezan ; Zhang, Ning ; Li, Honghui ; Liu, Feng
Author_Institution
Network Manage. Res. Center, Beijing Jiaotong Univ., Beijing, China
fYear
2011
fDate
10-12 July 2011
Firstpage
543
Lastpage
547
Abstract
According to the maintenance and application situation of CRH EMU (Electric Multiple Unit) in our country, we proposed the improved Apriori algorithm, CApriori (Coding-based Apriori), which can be used for data mining to CRH EMU fault information. Experiments and analysis show that the improved algorithm is more efficient than the base algorithm, while requiring less computation resources.
Keywords
data mining; fault diagnosis; railways; CApriori; CRH EMU fault information; CRH electric multiple unit; apriori algorithm; base algorithm; coding-based apriori; computation resources; data mining; fault analysis; Apriori Algorithm; CApriori Algorithm; CRH EMU; Fault Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Operations, Logistics, and Informatics (SOLI), 2011 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4577-0573-1
Type
conf
DOI
10.1109/SOLI.2011.5986620
Filename
5986620
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