Title :
Research on warship main power plant on board training system
Author :
Xie, Kuan ; Wu, Jiechang ; Guo, Chaoyou
Author_Institution :
Dept. of Mech. Eng., Naval Univ. of Eng., Wuhan, China
Abstract :
On board training system has realistic training environment, effective, low cost, safety, ease of implementation and many other advantages, it becomes an important development direction of ship simulation training system. This paper Investigate the Research state of on board training system from home and abroad, combines the latest ship automation research Achievement, researches the critical technology of warship main power plant on board training system, proposed hybrid modeling method based on neural network, uses CompactRIO embedded system to embed on board training system in the warship main power plant monitoring network with CAN bus and Ethernet network.
Keywords :
embedded systems; local area networks; military vehicles; ships; CAN bus; CompactRlO embedded system; Ethernet network; board training system; hybrid modeling method; ship automation research; ship simulation training system; training environment; warship main power plant; Bridges; Computational modeling; Computers; Field programmable gate arrays; Monitoring; Propulsion; Software; CAN bus network; CompactRIO embedded system; embedding technology; on board training system;
Conference_Titel :
Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2363-5
DOI :
10.1109/EEESym.2012.6258686
