Title :
The Intelligent Damage Assessment and Intelligent Reconfiguration System of Ship Diesel System
Author :
Hou, Yue ; Pu, Jin-yun
Author_Institution :
Naval Univ. of Eng., Wuhan
fDate :
July 30 2007-Aug. 1 2007
Abstract :
The intelligent damage assessment model and intelligent reconfiguration model of diesel system are important parts of the emergency-repair decision support system of the ship power system. If we can assess and repair the damage of the diesel system intelligently and correctly, the usability, survivability and safety of the ship will be improved greatly. The damage assessment is the basic of the reconfiguration, so the intelligent damage assessment model is discussed firstly. The graph theory is used to found the math model of diesel system firstly and the breadth first search arithmetic is used to solve the problem of diesel system intelligent damage assessment. Then the arithmetic of intelligent reconfiguration of diesel system is designed. Based on the foundation of the intelligent damage assessment arithmetic and intelligent reconfiguration arithmetic, the intelligent damage assessment and intelligent reconfiguration system of the damaged diesel system is designed based on UML and is realized in VB program environment.
Keywords :
Unified Modeling Language; Visual BASIC; decision support systems; failure analysis; graph theory; maintenance engineering; military computing; military vehicles; naval engineering computing; ships; tree searching; UML; VB program; Visual Basic program; breadth first search arithmetic; emergency-repair decision support system; graph theory; intelligent damage assessment; intelligent reconfiguration system; safety; ship diesel system; ship power system; survivability; Arithmetic; Artificial intelligence; Fuel storage; Graph theory; Intelligent networks; Intelligent systems; Marine vehicles; Power system modeling; Usability; Valves; Arithmetic; Breadth first search; Damage assessment; Graph theory; Reconfiguration;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
DOI :
10.1109/SNPD.2007.456