Title :
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
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;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625836