The method of test for state of railway tunnel lining based on association rules

Author

Liu, Yue ; Xu, Weixiang ; Du, Huan

Author_Institution

State Key Lab. of Rail Traffic Control & Safety, Beijing Jiao Tong Univ., Beijing, China

fYear

2011

fDate

27-29 May 2011

Firstpage

387

Lastpage

390

Abstract

Some improvements are made to Apriori algorithm based on SQL, thus reduce the number of intermediate tables, save the memory space and improve the efficiency of the algorithm. The improved algorithm is applied in railway tunnel lining condition monitoring data management system. Design the test process of this algorithm, and mine frequency sets, then gets the association rules between different tunnel diseases to better guide the tunnel disease prevention and maintenance work.

Keywords

SQL; condition monitoring; data mining; geotechnical engineering; linings; preventive maintenance; railway engineering; structural engineering computing; tunnels; Apriori algorithm; SQL; association rules; frequency set mining; intermediate tables; memory space; railway tunnel lining condition monitoring data management system; railway tunnel lining state; test method; tunnel disease maintenance work; tunnel disease prevention work; Educational institutions; Informatics; Maintenance engineering; Rail transportation; Apriori algorithm; SQL; association rules; railway; tunnel testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-61284-485-5

Type

conf

DOI

10.1109/ICCSN.2011.6014591

Filename

6014591