Title :
Knowledge discovery method based on data mining for marine propulsion system
Author :
Yutao, Chen ; Fanming, Zeng ; Lingen, Chen
Author_Institution :
Coll. of Naval Archit. & Power, Naval Univ. of Eng., Wuhan, China
Abstract :
Modern vessels have comprehensive platform management capability that allow them to achieve unprecedented levels of operational effectiveness and contribute to crew reduction. The focus of this paper is to address a new knowledge discovery method based on data mining to support the task activities for integrated management of ship propulsion system. The requirements of management knowledge are analyzed. Data mining algorithm is put forward to identify the related useful running mode knowledge of marine propulsion system. This new method which based on data mining would enhance the capability of knowledge based management for marine propulsion system.
Keywords :
data mining; marine engineering; marine systems; naval engineering computing; propulsion; data mining algorithm; knowledge based management; knowledge discovery method; marine propulsion system; ship propulsion system; task activities; Classification algorithms; Clustering algorithms; Data mining; Decision trees; Engines; Propellers; component; data mining; knowledge discovery; marine propulsion system;
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
DOI :
10.1109/FITME.2010.5654830
