Research of new equipment maintenance information management based on data mining

Author

Hong-Li Jia ; Gang Liu ; Bing Hao ; Bing Feng ; Zhi-Rong Li

Author_Institution

Dept. of Manage. Eng., Ordnance Eng. Coll., Shijiazhuang, China

fYear

2013

fDate

15-18 July 2013

Firstpage

1420

Lastpage

1423

Abstract

Vast amount of information is accumulated in many forms during the usage and maintenance of new equipments under information circumstance. The method of data mining is presented in this paper to take full advantage of information and increase scientific decision level of equipment maintenance management. The method includes maintenance information structure analysis, data collection, data coordination, association rule mining and decision tree classification. A case study is applied to explain the method.

Keywords

data mining; decision trees; information management; pattern classification; software maintenance; association rule mining; data collection; data coordination; data mining; decision tree classification; information circumstance; maintenance information structure analysis; new equipment maintenance information management; scientific decision level; Association rules; Decision trees; Itemsets; Maintenance engineering; Materials; association rule; data mining; decision tree classification; equipment maintenance information;

fLanguage

English

Publisher

ieee

Conference_Titel

Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4799-1014-4

Type

conf

DOI

10.1109/QR2MSE.2013.6625836

Filename

6625836