DocumentCode :
2819174
Title :
Graph Trace Analysis Based Shipboard HM&E System Priority Management and Recovery Analysis
Author :
Kleppinger, D.L. ; Russell, K.J. ; Broadwater, R.P.
Author_Institution :
Virginia Tech., Blacksburg
fYear :
2007
fDate :
21-23 May 2007
Firstpage :
109
Lastpage :
114
Abstract :
This paper presents a new priority management algorithm for use with interdependent, reconfigurable systems. It is based on a multidiscipline analysis approach called graph trace analysis (GTA) which was originally developed at Virginia Tech for integrated analysis and design of power utility systems. GTA´s generic nature, combined with the collaborative environment it provides makes it possible to define and solve multidiscipline problems in new ways that closely follow the natural problem structure defined by the system. This simplifies integration, provides for fewer modification and extension problems in the future, and reduces analysis time. In addition to presenting the new algorithm together with a simple example problem, the paper also provides an overview of GTA and a description of shipboard system priority management from a multidiscipline GTA perspective.
Keywords :
graph theory; marine engineering; ships; Virginia Tech; collaborative environment; graph trace analysis; multidiscipline analysis approach; power utility systems; priority management; reconfigurable systems; recovery analysis; shipboard hull mechanical and electrical system complexity; Automatic control; Collaboration; Containers; Control systems; Electrical equipment industry; Libraries; Marine vehicles; Performance analysis; Power system management; Power system modeling; Damage Control Automation; Polymorphic Composition; Priority Management; Recovery Analysis; Reduced Manning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Ship Technologies Symposium, 2007. ESTS '07. IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0947-0
Electronic_ISBN :
1-4244-0947-0
Type :
conf
DOI :
10.1109/ESTS.2007.372072
Filename :
4233808
Link To Document :
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