Abstract
In many applications, engineering systems are required to operate acceptably well in hostile environments. In the past, survivability engineering has addressed this requirement using heuristic rule-based design approaches followed by analysis to determine if survivability constraints have been satisfied. The treatment of survivability as a constraint rather than an independent design objective hinders the ability of system engineers to trade off survivability with other design objectives, such as cost and performance. Herein, the survivability problem is posed in terms of maximizing expected performance and minimizing the risk of unacceptable performance. Design metrics that allow optimal selection of systems on the basis of these survivability dimensions are presented. The metrics are part of a systematic approach to system engineering in which survivability concerns are quantified and individual systems and entire classes of systems can be compared objectively. These metrics are a necessary step toward an integrated design process wherein tradeoffs between all design objectives can be identified. This methodology is demonstrated on the design of a notional electric warship integrated engineering plant (IEP) that is subject to hostile disruptions posed by antiship missiles. By use of this method, the performance of the IEP is shown to be improved.
Original language | English |
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Article number | 5682413 |
Pages (from-to) | 989-1000 |
Number of pages | 12 |
Journal | IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans |
Volume | 41 |
Issue number | 5 |
DOIs | |
State | Published - Sep 2011 |
Bibliographical note
Funding Information:Manuscript received July 22, 2009; revised April 8, 2010; accepted September 4, 2010. Date of publication January 10, 2011; date of current version August 23, 2011. This work was supported by the Office of Naval Research under Contracts N00014-08-1-0080 and N00014-06-1-0314. This paper was recommended by Associate Editor K. W. Hipel. A. M. Cramer is with the University of Kentucky, Lexington, KY 40506 USA (e-mail: cramer@engr.uky.edu). S. D. Sudhoff is with Purdue University, West Lafayette, IN 47907 USA (e-mail: sudhoff@purdue.edu). E. L. Zivi is with the United States Naval Academy, Annapolis, MD 21402 USA (e-mail: zivi@usna.edu). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TSMCA.2010.2093887
Keywords
- Evolutionary algorithms
- performance metrics
- simulation
- survivability
- system engineering
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Human-Computer Interaction
- Computer Science Applications
- Electrical and Electronic Engineering