Title :
The Research of Equipment Maintenance Management in Power Plant Based on Data Mining
Author :
Yang-Hao Wei ; Da-Shen Xue
Author_Institution :
Transp. & Manage. Dept., Dalian Maritime Univ., Dalian, China
Abstract :
Equipment maintenance management task is not only the element task of management of a safety production, but also the guarantee of long-term reliable operation for a power generation enterprises. In this paper, aiming at the equipment maintenance management of power enterprises, selecting the feed water pump system as the research object and using the data mining to do the fault prediction of equipment, meanwhile this paper did some improvements of Apriori algorithm in association rules and also did some optimizations of database scanning and connection with pruning. Finally testify the conclusion demonstrated by the paper.
Keywords :
data mining; database management systems; fault diagnosis; maintenance engineering; power apparatus; power engineering computing; power plants; pumps; apriori algorithm; association rules; data mining; database scanning optimization; equipment fault prediction; equipment maintenance management; feed water pump system; power generation enterprises; power plant; safety production management; Association rules; Feeds; Itemsets; Maintenance engineering; Power generation; Apriori Algorithm; Data Mining; Equipment Maintenance Management;
Conference_Titel :
Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4799-6022-4
DOI :
10.1109/CICT.2015.98
